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Xin Xia 0001

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affiliation: Huawei Technologies Co., Ltd., Hangzhou, China
affiliation (former): Monash University, Melbourne, Australia
affiliation (former): University of British Columbia, Vancouver, BC, Canada
affiliation (PhD 2014): Zhejiang University, College of Computer Science and Technology, China

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2020 – today

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2025
[j137]
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Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang:
Deep learning-based software engineering: progress, challenges, and opportunities. Sci. China Inf. Sci. 68(1) (2025)
[j136]
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Kexing Chen, Lingfeng Bao, Xing Hu, Xin Xia, Xiaohu Yang:
E-PRedictor: an approach for early prediction of pull request acceptance. Sci. China Inf. Sci. 68(5) (2025)
[j135]
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Xunzhu Tang, Haoye Tian, Pingfan Kong, Saad Ezzini, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé:
Correction to: App review driven collaborative bug finding. Empir. Softw. Eng. 30(1): 36 (2025)
[j134]
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Zhipeng Gao, Yanqi Su, Xing Hu, Xin Xia:
Automating TODO-missed Methods Detection and Patching. ACM Trans. Softw. Eng. Methodol. 34(1): 2:1-2:28 (2025)
[i101]
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Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia:
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities. CoRR abs/2501.13742 (2025)
[i100]
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Ruiqi Wang, Jiyu Guo, Cuiyun Gao, Guodong Fan, Chun Yong Chong, Xin Xia:
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering. CoRR abs/2502.06193 (2025)
[i99]
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Junwei Zhang, Xing Hu, Shan Gao, Xin Xia, David Lo, Shanping Li:
Less is More: On the Importance of Data Quality for Unit Test Generation. CoRR abs/2502.14212 (2025)
[i98]
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Jianhang Xiang, Zhipeng Gao, Lingfeng Bao, Xing Hu, Jiayuan Chen, Xin Xia:
Automating Comment Generation for Smart Contract from Bytecode. CoRR abs/2503.15270 (2025)
[i97]
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Lishui Fan, Zhongxin Liu, Haoye Wang, Lingfeng Bao, Xin Xia, Shanping Li:
FAIT: Fault-Aware Fine-Tuning for Better Code Generation. CoRR abs/2503.16913 (2025)
[i96]
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  - journals/corr/abs-2503-24273
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Zirui Chen, Xing Hu, Puhua Sun, Xin Xia, Xiaohu Yang:
Generating Mitigations for Downstream Projects to Neutralize Upstream Library Vulnerability. CoRR abs/2503.24273 (2025)
2024
[j133]
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Jiachi Chen, Jiang Hu, Xin Xia, David Lo, John C. Grundy, Zhipeng Gao, Ting Chen:
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts. Autom. Softw. Eng. 31(2) (2024)
[j132]
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Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang:
GGT: Graph-guided testing for adversarial sample detection of deep neural network. Comput. Secur. 140: 103710 (2024)
[j131]
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Xunzhu Tang, Haoye Tian, Pingfan Kong, Saad Ezzini, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé:
App review driven collaborative bug finding. Empir. Softw. Eng. 29(5): 124 (2024)
[j130]
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Anita D. Carleton, Davide Falessi, Hongyu Zhang, Xin Xia:
Generative AI: Redefining the Future of Software Engineering. IEEE Softw. 41(6): 34-37 (2024)
[j129]
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Wen Li, Lingfeng Bao, Jiachi Chen, John C. Grundy, Xin Xia, Xiaohu Yang:
Market Manipulation of Cryptocurrencies: Evidence from Social Media and Transaction Data. ACM Trans. Internet Techn. 24(2): 8:1-8:26 (2024)
[j128]
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Yuanhang Yang, Wei He, Cuiyun Gao, Zenglin Xu, Xin Xia, Chuanyi Liu:
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site. ACM Trans. Softw. Eng. Methodol. 33(1): 20:1-20:25 (2024)
[j127]
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Jiamou Sun, Zhenchang Xing, Xin Xia, Qinghua Lu, Xiwei Xu, Liming Zhu:
Aspect-level Information Discrepancies across Heterogeneous Vulnerability Reports: Severity, Types and Detection Methods. ACM Trans. Softw. Eng. Methodol. 33(2): 49:1-49:38 (2024)
[j126]
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Yanming Yang, Xing Hu, Xin Xia, Xiaohu Yang:
The Lost World: Characterizing and Detecting Undiscovered Test Smells. ACM Trans. Softw. Eng. Methodol. 33(3): 59:1-59:32 (2024)
[j125]
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Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia:
Poison Attack and Poison Detection on Deep Source Code Processing Models. ACM Trans. Softw. Eng. Methodol. 33(3): 62:1-62:31 (2024)
[j124]
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Yanming Yang, Xing Hu, Zhipeng Gao, Jinfu Chen, Chao Ni, Xin Xia, David Lo:
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. IEEE Trans. Software Eng. 50(2): 296-321 (2024)
[j123]
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Junxiao Han, Jiahao Zhang, David Lo, Xin Xia, Shuiguang Deng, Minghui Wu:
Understanding Newcomers' Onboarding Process in Deep Learning Projects. IEEE Trans. Software Eng. 50(3): 443-460 (2024)
[j122]
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Fangcheng Qiu, Zhongxin Liu, Xing Hu, Xin Xia, Gang Chen, Xinyu Wang:
Vulnerability Detection via Multiple-Graph-Based Code Representation. IEEE Trans. Software Eng. 50(8): 2178-2199 (2024)
[j121]
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Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Fight Fire With Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks? IEEE Trans. Software Eng. 50(12): 3435-3453 (2024)
[c189]
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Xin Xia, Zhi Jin, Marco Aiello, Dongmei Zhang, Guangtai Liang, Xing Hu:
Software Service Engineering in the Era of Large Language Models. SSE 2024: xxiii
[c188]
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Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo:
Code Search is All You Need? Improving Code Suggestions with Code Search. ICSE 2024: 73:1-73:13
[c187]
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Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. ICSE 2024: 80:1-80:13
[c186]
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Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li:
Towards More Practical Automation of Vulnerability Assessment. ICSE 2024: 148:1-148:13
[c185]
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Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang:
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. ICSE 2024: 151:1-151:13
[c184]
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Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li:
PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. ICSE 2024: 167:1-167:12
[c183]
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Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang:
PPT4J: Patch Presence Test for Java Binaries. ICSE 2024: 225:1-225:12
[c182]
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Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang:
Exploiting Library Vulnerability via Migration Based Automating Test Generation. ICSE 2024: 228:1-228:12
[c181]
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Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, David Lo, Xiaohu Yang:
MUT: Human-in-the-Loop Unit Test Migration. ICSE 2024: 229:1-229:12
[c180]
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  - conf/icse/Yang000024
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Yanming Yang, Xing Hu, Xin Xia, David Lo, Xiaohu Yang:
Streamlining Java Programming: Uncovering Well-Formed Idioms with IdioMine. ICSE 2024: 230:1-230:12
[c179]
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Tingwei Zhu, Tongtong Xu, Kui Liu, Jiayuan Zhou, Xing Hu, Xin Xia, Tian Zhang, David Lo:
An Empirical Study of Automatic Program Repair Techniques for Injection Vulnerabilities. ICSME 2024: 25-37
[c178]
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  - conf/internetware/ZhangLBXHX24
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Junwei Zhang, Zhongxin Liu, Lingfeng Bao, Zhenchang Xing, Xing Hu, Xin Xia:
Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software. Internetware 2024
[c177]
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Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li:
Automating Zero-Shot Patch Porting for Hard Forks. ISSTA 2024: 363-375
[c176]
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Zhipeng Xue, Zhipeng Gao, Shaohua Wang, Xing Hu, Xin Xia, Shanping Li:
SelfPiCo: Self-Guided Partial Code Execution with LLMs. ISSTA 2024: 1389-1401
[c175]
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Xiao Yu, Lei Liu, Xing Hu, Jacky Keung, Xin Xia, David Lo:
Practitioners' Expectations on Automated Test Generation. ISSTA 2024: 1618-1630
[c174]
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  - conf/iwpc/ZhuLXTZP024
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Tingwei Zhu, Zhongxin Liu, Tongtong Xu, Ze Tang, Tian Zhang, Minxue Pan, Xin Xia:
Exploring and Improving Code Completion for Test Code. ICPC 2024: 137-148
[c173]
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Qi Zhan, Xing Hu, Xin Xia, Shanping Li:
REACT: IR-Level Patch Presence Test for Binary. ASE 2024: 381-392
[c172]
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Xiao Yu, Zexian Zhang, Feifei Niu, Xing Hu, Xin Xia, John Grundy:
What Makes a High-Quality Training Dataset for Large Language Models: A Practitioners' Perspective. ASE 2024: 656-668
[c171]
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Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun:
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. ASE 2024: 1693-1705
[c170]
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Jia Feng, Jiachen Liu, Cuiyun Gao, Chun Yong Chong, Chaozheng Wang, Shan Gao, Xin Xia:
ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code. ASE 2024: 1895-1906
[c169]
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  - conf/msr/WuBYXH24
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Jiaqi Wu, Lingfeng Bao, Xiaohu Yang, Xin Xia, Xing Hu:
A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges. MSR 2024: 595-606
[c168]
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Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li:
Unveil the Mystery of Critical Software Vulnerabilities. SIGSOFT FSE Companion 2024: 138-149
[c167]
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Zhipeng Gao, Zhipeng Xue, Xing Hu, Weiyi Shang, Xin Xia:
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction. SIGSOFT FSE Companion 2024: 306-317
[c166]
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  - conf/wcre/Zhang0B0L24
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Junwei Zhang, Xing Hu, Lingfeng Bao, Xin Xia, Shanping Li:
Dual Prompt-Based Few-Shot Learning for Automated Vulnerability Patch Localization. SANER 2024: 940-951
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David Lo, Xin Xia, Massimiliano Di Penta, Xing Hu:
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, FORGE 2024, Lisbon, Portugal, 14 April 2024. ACM 2024 [contents]
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Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. CoRR abs/2401.01060 (2024)
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Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang:
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. CoRR abs/2402.00657 (2024)
[i93]
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Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia:
Evaluating Large Language Models with Runtime Behavior of Program Execution. CoRR abs/2403.16437 (2024)
[i92]
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Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li:
Automating Zero-Shot Patch Porting for Hard Forks. CoRR abs/2404.17964 (2024)
[i91]
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Zhipeng Gao, Zhipeng Xue, Xing Hu, Weiyi Shang, Xin Xia:
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction. CoRR abs/2405.02922 (2024)
[i90]
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  - journals/corr/abs-2405-04861
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SiQi Wang, Xing Hu, Bei Wang, WenXin Yao, Xin Xia, XingYu Wang:
Insights into Deep Learning Refactoring: Bridging the Gap Between Practices and Expectations. CoRR abs/2405.04861 (2024)
[i89]
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Zhipeng Gao, Yanqi Su, Xing Hu, Xin Xia:
Automating TODO-missed Methods Detection and Patching. CoRR abs/2405.06225 (2024)
[i88]
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Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks? CoRR abs/2405.12641 (2024)
[i87]
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Zezhou Yang, Cuiyun Gao, Zhaoqiang Guo, Zhenhao Li, Kui Liu, Xin Xia, Yuming Zhou:
A Survey on Modern Code Review: Progresses, Challenges and Opportunities. CoRR abs/2405.18216 (2024)
[i86]
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Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang:
Enhancing Repository-Level Code Generation with Integrated Contextual Information. CoRR abs/2406.03283 (2024)
[i85]
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Qiheng Mao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia, Jianling Sun:
Towards Effectively Detecting and Explaining Vulnerabilities Using Large Language Models. CoRR abs/2406.09701 (2024)
[i84]
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Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Where Are Large Language Models for Code Generation on GitHub? CoRR abs/2406.19544 (2024)
[i83]
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Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia:
NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations. CoRR abs/2406.19783 (2024)
[i82]
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Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li:
Exploring the Capabilities of LLMs for Code Change Related Tasks. CoRR abs/2407.02824 (2024)
[i81]
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Zhipeng Xue, Zhipeng Gao, Shaohua Wang, Xing Hu, Xin Xia, Shanping Li:
SelfPiCo: Self-Guided Partial Code Execution with LLMs. CoRR abs/2407.16974 (2024)
[i80]
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Yubo Mai, Zhipeng Gao, Haoye Wang, Tingting Bi, Xing Hu, Xin Xia, Jianling Sun:
Towards Better Answers: Automated Stack Overflow Post Updating. CoRR abs/2408.09095 (2024)
[i79]
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Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun:
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. CoRR abs/2409.08692 (2024)
[i78]
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Jia Feng, Jiachen Liu, Cuiyun Gao, Chun Yong Chong, Chaozheng Wang, Shan Gao, Xin Xia:
ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code. CoRR abs/2409.10280 (2024)
[i77]
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Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, Xiaohu Yang:
A Rule-Based Approach for UI Migration from Android to iOS. CoRR abs/2409.16656 (2024)
[i76]
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Yi Gao, Xing Hu, Zirui Chen, Xiaohu Yang, Xin Xia:
Unit Test Generation for Vulnerability Exploitation in Java Third-Party Libraries. CoRR abs/2409.16701 (2024)
[i75]
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Yi Gao, Xing Hu, Xiaohu Yang, Xin Xia:
Context-Enhanced LLM-Based Framework for Automatic Test Refactoring. CoRR abs/2409.16739 (2024)
[i74]
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Zhenhao Li, Junkai Chen, Qiheng Mao, Xing Hu, Kui Liu, Xin Xia:
Studying Practitioners' Expectations on Clear Code Review Comments. CoRR abs/2410.06515 (2024)
[i73]
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  - journals/corr/abs-2410-13110
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Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang:
Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities. CoRR abs/2410.13110 (2024)
[i72]
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  - journals/corr/abs-2412-14554
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Cuiyun Gao, Xing Hu, Shan Gao, Xin Xia, Zhi Jin:
The Current Challenges of Software Engineering in the Era of Large Language Models. CoRR abs/2412.14554 (2024)
[i71]
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Zixuan Tan, Jiayuan Zhou, Xing Hu, Shengyi Pan, Kui Liu, Xin Xia:
Similar but Patched Code Considered Harmful - The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them. CoRR abs/2412.20740 (2024)
[i70]
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  - journals/corr/abs-2412-20992
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Qi Zhan, Xing Hu, Xin Xia, Shanping Li:
Verified Lifting of Deep learning Operators. CoRR abs/2412.20992 (2024)
2023
[j120]
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Ying Fu, Meng Yan, Zhou Xu, Xin Xia, Xiaohong Zhang, Dan Yang:
An empirical study of the impact of log parsers on the performance of log-based anomaly detection. Empir. Softw. Eng. 28(1): 6 (2023)
[j119]
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Lihong Tang, Tingmin Wu, Xiao Chen, Sheng Wen, Li Li, Xin Xia, Marthie Grobler, Yang Xiang:
How Does Visualisation Help App Practitioners Analyse Android Apps? IEEE Trans. Dependable Secur. Comput. 20(3): 2238-2255 (2023)
[j118]
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Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia, Michael R. Lyu:
Code Structure-Guided Transformer for Source Code Summarization. ACM Trans. Softw. Eng. Methodol. 32(1): 23:1-23:32 (2023)
[j117]
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Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Linxiao Bai, Wei Dong, Xiangke Liao:
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. ACM Trans. Softw. Eng. Methodol. 32(2): 34:1-34:27 (2023)
[j116]
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Filipe Roseiro Côgo, Xin Xia, Ahmed E. Hassan:
Assessing the Alignment between the Information Needs of Developers and the Documentation of Programming Languages: A Case Study on Rust. ACM Trans. Softw. Eng. Methodol. 32(2): 43:1-43:48 (2023)
[j115]
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Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Xindong Zhang, Zhenchang Xing:
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts. ACM Trans. Softw. Eng. Methodol. 32(3): 80:1-80:42 (2023)
[j114]
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Qing Huang, Dianshu Liao, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia:
Semantic-Enriched Code Knowledge Graph to Reveal Unknowns in Smart Contract Code Reuse. ACM Trans. Softw. Eng. Methodol. 32(6): 147:1-147:37 (2023)
[j113]
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Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo:
Revisiting the Identification of the Co-evolution of Production and Test Code. ACM Trans. Softw. Eng. Methodol. 32(6): 152:1-152:37 (2023)
[j112]
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Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia:
1+1>2: Programming Know-What and Know-How Knowledge Fusion, Semantic Enrichment and Coherent Application. IEEE Trans. Serv. Comput. 16(3): 1540-1554 (2023)
[j111]
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Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li:
Just-In-Time Obsolete Comment Detection and Update. IEEE Trans. Software Eng. 49(1): 1-23 (2023)
[j110]
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Neng Zhang, Ying Zou, Xin Xia, Qiao Huang, David Lo, Shanping Li:
Web APIs: Features, Issues, and Expectations - A Large-Scale Empirical Study of Web APIs From Two Publicly Accessible Registries Using Stack Overflow and a User Survey. IEEE Trans. Software Eng. 49(2): 498-528 (2023)
[j109]
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  - journals/tse/LinWLXM23
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Bo Lin, Shangwen Wang, Zhongxin Liu, Xin Xia, Xiaoguang Mao:
Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach. IEEE Trans. Software Eng. 49(4): 1640-1660 (2023)
[j108]
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Yujia Chen, Cuiyun Gao, Xiaoxue Ren, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning. IEEE Trans. Software Eng. 49(5): 3289-3304 (2023)
[j107]
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Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, David Lo:
Context-Aware Neural Fault Localization. IEEE Trans. Software Eng. 49(7): 3939-3954 (2023)
[j106]
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  - journals/tse/NguyenLKWYZXZXHLL23
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Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo:
Multi-Granularity Detector for Vulnerability Fixes. IEEE Trans. Software Eng. 49(8): 4035-4057 (2023)
[j105]
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Junwei Zhang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li:
Vulnerability Detection by Learning From Syntax-Based Execution Paths of Code. IEEE Trans. Software Eng. 49(8): 4196-4212 (2023)
[c165]
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  - conf/icse/LiuTXY23
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Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang:
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. ICSE 2023: 17-29
[c164]
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Sen Fang, Tao Zhang, Youshuai Tan, He Jiang, Xin Xia, Xiaobing Sun:
RepresentThemAll: A Universal Learning Representation of Bug Reports. ICSE 2023: 602-614
[c163]
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Shengyi Pan, Lingfeng Bao, Xin Xia, David Lo, Shanping Li:
Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure. ICSE 2023: 957-969
[c162]
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  - conf/icse/ZhangXXXZL23
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Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. ICSE 2023: 1495-1507
[c161]
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  - conf/icse/ZhaoXXYXZ23
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Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. ICSE 2023: 1946-1957
[c160]
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  - conf/icse/ZhouPCHXLH23
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Jiayuan Zhou, Michael Pacheco, Jinfu Chen, Xing Hu, Xin Xia, David Lo, Ahmed E. Hassan:
CoLeFunDa: Explainable Silent Vulnerability Fix Identification. ICSE 2023: 2565-2577
[c159]
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  - conf/issta/Liu00023
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Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang:
Towards More Realistic Evaluation for Neural Test Oracle Generation. ISSTA 2023: 589-600
[c158]
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  - conf/kbse/LiCHXCS23
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Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang:
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. ASE 2023: 129-140
[c157]
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  - conf/kbse/TangBXH23
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Lingxiao Tang, Lingfeng Bao, Xin Xia, Zhongdong Huang:
Neural SZZ Algorithm. ASE 2023: 1024-1035
[c156]
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  - conf/kbse/HuLXLXY23
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Xing Hu, Zhuang Liu, Xin Xia, Zhongxin Liu, Tongtong Xu, Xiaohu Yang:
Identify and Update Test Cases When Production Code Changes: A Transformer-Based Approach. ASE 2023: 1111-1122
[c155]
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  - conf/sigsoft/WanZ0J023
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Zhiyuan Wan, Yun Zhang, Xin Xia, Yi Jiang, David Lo:
Software Architecture in Practice: Challenges and Opportunities. ESEC/SIGSOFT FSE 2023: 1457-1469
[c154]
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  - conf/sigsoft/LinWL00M23
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Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao:
CCT5: A Code-Change-Oriented Pre-trained Model. ESEC/SIGSOFT FSE 2023: 1509-1521
[c153]
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Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia:
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. ESEC/SIGSOFT FSE 2023: 1611-1622
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Yanming Yang, Ying Zou, Xing Hu, David Lo, Chao Ni, John C. Grundy, Xin Xia:
C³: Code Clone-Based Identification of Duplicated Components. ESEC/SIGSOFT FSE 2023: 1832-1843
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Hong Mei, Jian Lv, Zhi Jin, Xuandong Li, Xiaohu Yang, Xin Xia:
Proceedings of the 14th Asia-Pacific Symposium on Internetware, Internetware 2023, Hangzhou, China, August 4-6, 2023. ACM 2023 [contents]
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Tao Zhang, Xin Xia, Nicole Novielli:
IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023, Taipa, Macao, March 21-24, 2023. IEEE 2023, ISBN 978-1-6654-5278-6 [contents]
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Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. CoRR abs/2301.12633 (2023)
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Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang:
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. CoRR abs/2302.03924 (2023)
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Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. CoRR abs/2304.14042 (2023)
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  - journals/corr/abs-2305-10785
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Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao:
CCT5: A Code-Change-Oriented Pre-Trained Model. CoRR abs/2305.10785 (2023)
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Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo:
Multi-Granularity Detector for Vulnerability Fixes. CoRR abs/2305.13884 (2023)
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Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang:
Towards More Realistic Evaluation for Neural Test Oracle Generation. CoRR abs/2305.17047 (2023)
[i63]
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Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang:
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. CoRR abs/2308.08836 (2023)
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Zhiyuan Wan, Yun Zhang, Xin Xia, Yi Jiang, David Lo:
Software Architecture in Practice: Challenges and Opportunities. CoRR abs/2308.09978 (2023)
[i61]
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  - journals/corr/abs-2308-11237
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Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia:
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. CoRR abs/2308.11237 (2023)
[i60]
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  - journals/corr/abs-2308-13775
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Jia Allen Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin:
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. CoRR abs/2308.13775 (2023)
[i59]
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  - journals/corr/abs-2312-03393
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Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li:
PS³: Precise Patch Presence Test based on Semantic Symbolic Signature. CoRR abs/2312.03393 (2023)
[i58]
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Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang:
Exploiting Library Vulnerability via Migration Based Automating Test Generation. CoRR abs/2312.09564 (2023)
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Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang:
PPT4J: Patch Presence Test for Java Binaries. CoRR abs/2312.11013 (2023)
2022
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Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang:
How does working from home affect developer productivity? - A case study of Baidu during the COVID-19 pandemic. Sci. China Inf. Sci. 65(4) (2022)
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Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy:
Opportunities and Challenges in Code Search Tools. ACM Comput. Surv. 54(9): 196:1-196:40 (2022)
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Yanming Yang, Xin Xia, David Lo, John C. Grundy:
A Survey on Deep Learning for Software Engineering. ACM Comput. Surv. 54(10s): 206:1-206:73 (2022)
[j101]
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Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li:
An exploratory study on the repeatedly shared external links on Stack Overflow. Empir. Softw. Eng. 27(1): 19 (2022)
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Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin:
A unified multi-task learning model for AST-level and token-level code completion. Empir. Softw. Eng. 27(4): 91 (2022)
[j99]
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Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Understanding in-app advertising issues based on large scale app review analysis. Inf. Softw. Technol. 142: 106741 (2022)
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Mojtaba Shahin, Christabel Gonsalvez, Jon Whittle, Chunyang Chen, Li Li, Xin Xia:
How secondary school girls perceive Computational Thinking practices through collaborative programming with the micro: bit. J. Syst. Softw. 183: 111107 (2022)
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Tingmin Wu, Wanlun Ma, Sheng Wen, Xin Xia, Cécile Paris, Surya Nepal, Yang Xiang:
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity. ACM Trans. Internet Techn. 22(2): 52:1-52:27 (2022)
[j96]
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Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu:
Automating App Review Response Generation Based on Contextual Knowledge. ACM Trans. Softw. Eng. Methodol. 31(1): 11:1-11:36 (2022)
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Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li:
CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words. ACM Trans. Softw. Eng. Methodol. 31(1): 12:1-12:37 (2022)
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Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
On the Reproducibility and Replicability of Deep Learning in Software Engineering. ACM Trans. Softw. Eng. Methodol. 31(1): 15:1-15:46 (2022)
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Jiachi Chen, Xin Xia, David Lo, John C. Grundy:
Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum. ACM Trans. Softw. Eng. Methodol. 31(2): 30:1-30:37 (2022)
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Yanming Yang, Xin Xia, David Lo, Tingting Bi, John C. Grundy, Xiaohu Yang:
Predictive Models in Software Engineering: Challenges and Opportunities. ACM Trans. Softw. Eng. Methodol. 31(3): 56:1-56:72 (2022)
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Xing Hu, Qiuyuan Chen, Haoye Wang, Xin Xia, David Lo, Thomas Zimmermann:
Correlating Automated and Human Evaluation of Code Documentation Generation Quality. ACM Trans. Softw. Eng. Methodol. 31(4): 63:1-63:28 (2022)
[j90]
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Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann, Denae Ford:
Accessibility in Software Practice: A Practitioner's Perspective. ACM Trans. Softw. Eng. Methodol. 31(4): 66:1-66:26 (2022)
[j89]
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Chao Ni, Xin Xia, David Lo, Xiaohu Yang, Ahmed E. Hassan:
Just-In-Time Defect Prediction on JavaScript Projects: A Replication Study. ACM Trans. Softw. Eng. Methodol. 31(4): 76:1-76:38 (2022)
[j88]
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Meng Yan, Xin Xia, Yuanrui Fan, Ahmed E. Hassan, David Lo, Shanping Li:
Just-In-Time Defect Identification and Localization: A Two-Phase Framework. IEEE Trans. Software Eng. 48(2): 82-101 (2022)
[j87]
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Qiang He, Bo Li, Feifei Chen, John C. Grundy, Xin Xia, Yun Yang:
Diversified Third-Party Library Prediction for Mobile App Development. IEEE Trans. Software Eng. 48(2): 150-165 (2022)
[j86]
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Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiapu Luo, Ting Chen:
Defining Smart Contract Defects on Ethereum. IEEE Trans. Software Eng. 48(2): 327-345 (2022)
[j85]
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Chao Ni, Xin Xia, David Lo, Xiang Chen, Qing Gu:
Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction. IEEE Trans. Software Eng. 48(3): 786-802 (2022)
[j84]
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Neng Zhang, Qiao Huang, Xin Xia, Ying Zou, David Lo, Zhenchang Xing:
Chatbot4QR: Interactive Query Refinement for Technical Question Retrieval. IEEE Trans. Software Eng. 48(4): 1185-1211 (2022)
[j83]
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Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann:
An Empirical Study of Release Note Production and Usage in Practice. IEEE Trans. Software Eng. 48(6): 1834-1852 (2022)
[j82]
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Jiachi Chen, Xin Xia, David Lo, John Grundy, Xiapu Luo, Ting Chen:
DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode. IEEE Trans. Software Eng. 48(7): 2189-2207 (2022)
[j81]
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Xiaoxue Wu, Wei Zheng, Xin Xia, David Lo:
Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction. IEEE Trans. Software Eng. 48(7): 2541-2556 (2022)
[j80]
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Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. IEEE Trans. Software Eng. 48(8): 3025-3043 (2022)
[j79]
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Jiakun Liu, Xin Xia, David Lo, Haoxiang Zhang, Ying Zou, Ahmed E. Hassan, Shanping Li:
Broken External Links on Stack Overflow. IEEE Trans. Software Eng. 48(9): 3242-3267 (2022)
[j78]
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Bowen Xu, Thong Hoang, Abhishek Sharma, Chengran Yang, Xin Xia, David Lo:
Post2Vec: Learning Distributed Representations of Stack Overflow Posts. IEEE Trans. Software Eng. 48(9): 3423-3441 (2022)
[j77]
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Fangcheng Qiu, Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Xinyu Wang:
Deep Just-In-Time Defect Localization. IEEE Trans. Software Eng. 48(12): 5068-5086 (2022)
[c151]
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  - conf/icse/XieLY00M22
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Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao:
A Universal Data Augmentation Approach for Fault Localization. ICSE 2022: 48-60
[c150]
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Qiuyuan Chen, Dezhen Kong, Lingfeng Bao, Chenxing Sun, Xin Xia, Shanping Li:
Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction. ICSE (SEIP) 2022: 115-124
[c149]
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Xing Hu, Xin Xia, David Lo, Zhiyuan Wan, Qiuyuan Chen, Thomas Zimmermann:
Practitioners' Expectations on Automated Code Comment Generation. ICSE 2022: 1693-1705
[c148]
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Neng Zhang, Chao Liu, Xin Xia, Christoph Treude, Ying Zou, David Lo, Zibin Zheng:
ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion. ICSE 2022: 1970-1981
[c147]
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Lingfeng Bao, Xin Xia, Ahmed E. Hassan, Xiaohu Yang:
V-SZZ: Automatic Identification of Version Ranges Affected by CVE Vulnerabilities. ICSE 2022: 2352-2364
[c146]
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Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia:
Improving Fault Localization Using Model-domain Synthesized Failing Test Generation. ICSME 2022: 199-210
[c145]
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Uttam Thakore, Muntasir Rahman, Xin Xia, Keun Soo Yim:
Message from the ISSRE 2022 Industry Track Committee Chairs. ISSRE Workshops 2022: xv
[c144]
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Chenning Tao, Qi Zhan, Xing Hu, Xin Xia:
C4: contrastive cross-language code clone detection. ICPC 2022: 413-424
[c143]
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Yanqi Su, Zheming Han, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Constructing a System Knowledge Graph of User Tasks and Failures from Bug Reports to Support Soap Opera Testing. ASE 2022: 26:1-26:13
[c142]
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Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé:
Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. ASE 2022: 59:1-59:13
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Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang:
Are we building on the rock? on the importance of data preprocessing for code summarization. ESEC/SIGSOFT FSE 2022: 107-119
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Zhiyuan Wan, Xin Xia, Yun Zhang, David Lo, Daibing Zhou, Qiuyuan Chen, Ahmed E. Hassan:
What motivates software practitioners to contribute to inner source? ESEC/SIGSOFT FSE 2022: 132-144
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Chao Ni, Wei Wang, Kaiwen Yang, Xin Xia, Kui Liu, David Lo:
The best of both worlds: integrating semantic features with expert features for defect prediction and localization. ESEC/SIGSOFT FSE 2022: 672-683
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Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu:
Making Python code idiomatic by automatic refactoring non-idiomatic Python code with pythonic idioms. ESEC/SIGSOFT FSE 2022: 696-708
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Yucen Shi, Ying Yin, Zhengkui Wang, David Lo, Tao Zhang, Xin Xia, Yuhai Zhao, Bowen Xu:
How to better utilize code graphs in semantic code search? ESEC/SIGSOFT FSE 2022: 722-733
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Shengyi Pan, Jiayuan Zhou, Filipe Roseiro Côgo, Xin Xia, Lingfeng Bao, Xing Hu, Shanping Li, Ahmed E. Hassan:
Automated unearthing of dangerous issue reports. ESEC/SIGSOFT FSE 2022: 834-846
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Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan, David Lo, Ting Zhang:
CodeMatcher: a tool for large-scale code search based on query semantics matching. ESEC/SIGSOFT FSE 2022: 1642-1646
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Menghan Wu, Yang Zhang, Jiakun Liu, Shangwen Wang, Zhang Zhang, Xin Xia, Xinjun Mao:
On the Way to Microservices: Exploring Problems and Solutions from Online Q&A Community. SANER 2022: 432-443
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Shichao Wang, Yun Zhang, Liagfeng Bao, Xin Xia, Minghui Wu:
VCMatch: A Ranking-based Approach for Automatic Security Patches Localization for OSS Vulnerabilities. SANER 2022: 589-600
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Dezhen Kong, Qiuyuan Chen, Lingfeng Bao, Chenxing Sun, Xin Xia, Shanping Li:
Recommending Code Reviewers for Proprietary Software Projects: A Large Scale Study. SANER 2022: 630-640
[i56]
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Filipe Roseiro Côgo, Xin Xia, Ahmed E. Hassan:
Assessing the alignment between the information needs of developers and the documentation of programming languages: A case study on Rust. CoRR abs/2202.04431 (2022)
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Chao Ni, Kaiwen Yang, Xin Xia, David Lo, Xiang Chen, Xiaohu Yang:
Defect Identification, Categorization, and Repair: Better Together. CoRR abs/2204.04856 (2022)
[i54]
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Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia:
1+1>2: Programming Know-What and Know-How Knowledge Fusion, Semantic Enrichment and Coherent Application. CoRR abs/2207.05560 (2022)
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Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang:
Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization. CoRR abs/2207.05579 (2022)
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Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu:
Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms. CoRR abs/2207.05613 (2022)
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Yujia Chen, Xiaoxue Ren, Cuiyun Gao, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning. CoRR abs/2208.01971 (2022)
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Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé:
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. CoRR abs/2208.04125 (2022)
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Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Xindong Zhang, Zhenchang Xing:
I Know What You Are Searching For: Code Snippet Recommendation from Stack Overflow Posts. CoRR abs/2210.15845 (2022)
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Zhipeng Gao, Xin Xia, David Lo, John C. Grundy:
Technical Q&A Site Answer Recommendation via Question Boosting. CoRR abs/2210.15846 (2022)
[i47]
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Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia:
Poison Attack and Defense on Deep Source Code Processing Models. CoRR abs/2210.17029 (2022)
2021
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Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li:
What makes a popular academic AI repository? Empir. Softw. Eng. 26(1): 2 (2021)
[j75]
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Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks. Empir. Softw. Eng. 26(2): 16 (2021)
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Xiaowei Chen, Rabe Abdalkareem, Suhaib Mujahid, Emad Shihab, Xin Xia:
Helping or not helping? Why and how trivial packages impact the npm ecosystem. Empir. Softw. Eng. 26(2): 27 (2021)
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Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
Maintenance-related concerns for post-deployed Ethereum smart contract development: issues, techniques, and future challenges. Empir. Softw. Eng. 26(6): 117 (2021)
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Jing Jiang, Qiudi Wu, Jin Cao, Xin Xia, Li Zhang:
Recommending tags for pull requests in GitHub. Inf. Softw. Technol. 129: 106394 (2021)
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Tingting Bi, Peng Liang, Antony Tang, Xin Xia:
Mining Architecture Tactics and Quality Attributes knowledge in Stack Overflow. J. Syst. Softw. 180: 111005 (2021)
[j70]
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Ying Wei, Xiaobing Sun, Lili Bo, Sicong Cao, Xin Xia, Bin Li:
A comprehensive study on security bug characteristics. J. Softw. Evol. Process. 33(10) (2021)
[j69]
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Zhipeng Gao, Xin Xia, David Lo, John Grundy:
Technical Q8A Site Answer Recommendation via Question Boosting. ACM Trans. Softw. Eng. Methodol. 30(1): 11:1-11:34 (2021)
[j68]
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Qiuyuan Chen, Xin Xia, Han Hu, David Lo, Shanping Li:
Why My Code Summarization Model Does Not Work: Code Comment Improvement with Category Prediction. ACM Trans. Softw. Eng. Methodol. 30(2): 25:1-25:29 (2021)
[j67]
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Qiuyuan Chen, Chunyang Chen, Safwat Hassan, Zhengchang Xing, Xin Xia, Ahmed E. Hassan:
How Should I Improve the UI of My App?: A Study of User Reviews of Popular Apps in the Google Play. ACM Trans. Softw. Eng. Methodol. 30(3): 37:1-37:38 (2021)
[j66]
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Haoye Wang, Xin Xia, David Lo, Qiang He, Xinyu Wang, John Grundy:
Context-aware Retrieval-based Deep Commit Message Generation. ACM Trans. Softw. Eng. Methodol. 30(4): 56:1-56:30 (2021)
[j65]
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Lingfeng Bao, Xin Xia, David Lo, Gail C. Murphy:
A Large Scale Study of Long-Time Contributor Prediction for GitHub Projects. IEEE Trans. Software Eng. 47(6): 1277-1298 (2021)
[j64]
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Zhiyuan Wan, Xin Xia, Ahmed E. Hassan:
What Do Programmers Discuss About Blockchain? A Case Study on the Use of Balanced LDA and the Reference Architecture of a Domain to Capture Online Discussions About Blockchain Platforms Across Stack Exchange Communities. IEEE Trans. Software Eng. 47(7): 1331-1349 (2021)
[j63]
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Giovanni Viviani, Michalis Famelis, Xin Xia, Calahan Janik-Jones, Gail C. Murphy:
Locating Latent Design Information in Developer Discussions: A Study on Pull Requests. IEEE Trans. Software Eng. 47(7): 1402-1413 (2021)
[j62]
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Yuanrui Fan, Xin Xia, Daniel Alencar da Costa, David Lo, Ahmed E. Hassan, Shanping Li:
The Impact of Mislabeled Changes by SZZ on Just-in-Time Defect Prediction. IEEE Trans. Software Eng. 47(8): 1559-1586 (2021)
[j61]
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Zhiyuan Wan, Xin Xia, David Lo, Gail C. Murphy:
How does Machine Learning Change Software Development Practices? IEEE Trans. Software Eng. 47(9): 1857-1871 (2021)
[j60]
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Zhongxin Liu, Xin Xia, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li:
Which Variables Should I Log? IEEE Trans. Software Eng. 47(9): 2012-2031 (2021)
[j59]
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Rubing Huang, Weifeng Sun, Yinyin Xu, Haibo Chen, Dave Towey, Xin Xia:
A Survey on Adaptive Random Testing. IEEE Trans. Software Eng. 47(10): 2052-2083 (2021)
[j58]
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Weiqin Zou, David Lo, Pavneet Singh Kochhar, Xuan-Bach Dinh Le, Xin Xia, Yang Feng, Zhenyu Chen, Baowen Xu:
Smart Contract Development: Challenges and Opportunities. IEEE Trans. Software Eng. 47(10): 2084-2106 (2021)
[j57]
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Zhipeng Gao, Lingxiao Jiang, Xin Xia, David Lo, John Grundy:
Checking Smart Contracts With Structural Code Embedding. IEEE Trans. Software Eng. 47(12): 2874-2891 (2021)
[c131]
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  - conf/blockchain2/BuiWYXHX21
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Van Cuong Bui, Sheng Wen, Jiangshan Yu, Xin Xia, Mohammad Sayad Haghighi, Yang Xiang:
Evaluating Upgradable Smart Contract. Blockchain 2021: 252-256
[c130]
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  - conf/icse/ObieH0G0TWS21
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Humphrey O. Obie, Waqar Hussain, Xin Xia, John C. Grundy, Li Li, Burak Turhan, Jon Whittle, Mojtaba Shahin:
A First Look at Human Values-Violation in App Reviews. ICSE-SEIS 2021: 29-38
[c129]
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Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li:
UIS-Hunter: Detecting UI Design Smells in Android Apps. ICSE (Companion Volume) 2021: 89-92
[c128]
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Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang:
Smart Contract Security: A Practitioners' Perspective: The Artifact of a Paper Accepted in the 43rd IEEE/ACM International Conference on Software Engineering (ICSE 2021). ICSE (Companion Volume) 2021: 227-228
[c127]
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Zejun Zhang, Yanming Yang, Xin Xia, David Lo, Xiaoxue Ren, John C. Grundy:
Unveiling the Mystery of API Evolution in Deep Learning Frameworks: A Case Study of Tensorflow 2. ICSE (SEIP) 2021: 238-247
[c126]
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Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia:
An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent. ICSE (SEIP) 2021: 298-307
[c125]
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Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li:
Don't Do That! Hunting Down Visual Design Smells in Complex UIs against Design Guidelines. ICSE 2021: 761-772
[c124]
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Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li:
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. ICSE 2021: 1174-1185
[c123]
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Haoye Wang, Xin Xia, David Lo, John C. Grundy, Xinyu Wang:
Automatic Solution Summarization for Crash Bugs. ICSE 2021: 1286-1297
[c122]
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Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang:
Smart Contract Security: a Practitioners' Perspective. ICSE 2021: 1410-1422
[c121]
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Tingting Bi, Xin Xia, David Lo, Aldeida Aleti:
A First Look at Accessibility Issues in Popular GitHub Projects. ICSME 2021: 390-401
[c120]
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Xing Hu, Zhipeng Gao, Xin Xia, David Lo, Xiaohu Yang:
Automating User Notice Generation for Smart Contract Functions. ASE 2021: 5-17
[c119]
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Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin:
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. ASE 2021: 155-166
[c118]
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  - conf/kbse/SuXP0WX021
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Yanqi Su, Zhenchang Xing, Xin Peng, Xin Xia, Chong Wang, Xiwei Xu, Liming Zhu:
Reducing Bug Triaging Confusion by Learning from Mistakes with a Bug Tossing Knowledge Graph. ASE 2021: 191-202
[c117]
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Jiayuan Zhou, Michael Pacheco, Zhiyuan Wan, Xin Xia, David Lo, Yuan Wang, Ahmed E. Hassan:
Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes. ASE 2021: 705-716
[c116]
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Shengyi Pan, Lingfeng Bao, Xiaoxue Ren, Xin Xia, David Lo, Shanping Li:
Automating Developer Chat Mining. ASE 2021: 854-866
[c115]
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Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang:
Detecting Adversarial Samples with Graph-Guided Testing. ASE 2021: 1196-1198
[c114]
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Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann:
Automating the removal of obsolete TODO comments. ESEC/SIGSOFT FSE 2021: 218-229
[c113]
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Bo Li, Qiang He, Feifei Chen, Xin Xia, Li Li, John C. Grundy, Yun Yang:
Embedding app-library graph for neural third party library recommendation. ESEC/SIGSOFT FSE 2021: 466-477
[c112]
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Jiakun Liu, Sebastian Baltes, Christoph Treude, David Lo, Yun Zhang, Xin Xia:
Characterizing search activities on stack overflow. ESEC/SIGSOFT FSE 2021: 919-931
[c111]
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Xiaoxue Ren, Xinyuan Ye, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Jianling Sun:
KGAMD: an API-misuse detector driven by fine-grained API-constraint knowledge graph. ESEC/SIGSOFT FSE 2021: 1515-1519
[c110]
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Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Yuan-Fang Li:
Code2Que: a tool for improving question titles from mined code snippets in stack overflow. ESEC/SIGSOFT FSE 2021: 1525-1529
[c109]
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Bei Wang, Meng Yan, Zhongxin Liu, Ling Xu, Xin Xia, Xiaohong Zhang, Dan Yang:
Quality Assurance for Automated Commit Message Generation. SANER 2021: 260-271
[c108]
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Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang:
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. SANER 2021: 458-469
[i46]
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  - journals/corr/abs-2101-03730
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Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An Exploratory Study on the Introduction and Removal of Different Types of Technical Debt. CoRR abs/2101.03730 (2021)
[i45]
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  - journals/corr/abs-2102-10963
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Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang:
Smart Contract Security: a Practitioners' Perspective. CoRR abs/2102.10963 (2021)
[i44]
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  - journals/corr/abs-2103-00141
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Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li:
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. CoRR abs/2103.00141 (2021)
[i43]
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Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia:
An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent. CoRR abs/2103.01590 (2021)
[i42]
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Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xin Xia, Liming Zhu, John C. Grundy, Jinshui Wang:
Wireframe-Based UI Design Search Through Image Autoencoder. CoRR abs/2103.07085 (2021)
[i41]
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Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann, Denae Ford:
Accessibility in Software Practice: A Practitioner's Perspective. CoRR abs/2103.08778 (2021)
[i40]
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Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Minghui Wu, Xiaohu Yang:
psc2code: Denoising Code Extraction from Programming Screencasts. CoRR abs/2103.11610 (2021)
[i39]
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Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Bailin Xiao, Wei Dong, Xiangke Liao:
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. CoRR abs/2103.13020 (2021)
[i38]
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Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin:
Modular Tree Network for Source Code Representation Learning. CoRR abs/2104.00196 (2021)
[i37]
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  - journals/corr/abs-2104-01032
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Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang:
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. CoRR abs/2104.01032 (2021)
[i36]
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  - journals/corr/abs-2104-03518
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Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li:
An Exploratory Study on the Repeatedly Shared External Links on Stack Overflow. CoRR abs/2104.03518 (2021)
[i35]
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  - journals/corr/abs-2104-09340
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Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia:
Code Structure Guided Transformer for Source Code Summarization. CoRR abs/2104.09340 (2021)
[i34]
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Tingting Bi, Peng Liang, Antony Tang, Xin Xia:
Mining Architecture Tactics and Quality Attributes Knowledge in Stack Overflow. CoRR abs/2105.07940 (2021)
[i33]
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  - journals/corr/abs-2107-07043
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Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang:
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network. CoRR abs/2107.07043 (2021)
[i32]
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  - journals/corr/abs-2108-05846
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Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann:
Automating the Removal of Obsolete TODO Comments. CoRR abs/2108.05846 (2021)
[i31]
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  - journals/corr/abs-2110-00812
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Mojtaba Shahin, Chris Gonsalvez, Jon Whittle, Chunyang Chen, Li Li, Xin Xia:
How Secondary School Girls Perceive Computational Thinking Practices through Collaborative Programming with the Micro: bit. CoRR abs/2110.00812 (2021)
2020
[j56]
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Li Li, Jun Gao, Tegawendé F. Bissyandé, Lei Ma, Xin Xia, Jacques Klein:
CDA: Characterising Deprecated Android APIs. Empir. Softw. Eng. 25(3): 2058-2098 (2020)
[j55]
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Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin:
Deep code comment generation with hybrid lexical and syntactical information. Empir. Softw. Eng. 25(3): 2179-2217 (2020)
[j54]
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  - journals/ese/HanSWDX20
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Junxiao Han, Emad Shihab, Zhiyuan Wan, Shuiguang Deng, Xin Xia:
What do Programmers Discuss about Deep Learning Frameworks. Empir. Softw. Eng. 25(4): 2694-2747 (2020)
[j53]
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  - journals/tosem/ChenCXXZGW20
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Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xin Xia, Liming Zhu, John C. Grundy, Jinshui Wang:
Wireframe-based UI Design Search through Image Autoencoder. ACM Trans. Softw. Eng. Methodol. 29(3): 19:1-19:31 (2020)
[j52]
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Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Minghui Wu, Xiaohu Yang:
psc2code: Denoising Code Extraction from Programming Screencasts. ACM Trans. Softw. Eng. Methodol. 29(3): 21:1-21:38 (2020)
[j51]
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Zhipeng Gao, Xin Xia, John Grundy, David Lo, Yuan-Fang Li:
Generating Question Titles for Stack Overflow from Mined Code Snippets. ACM Trans. Softw. Eng. Methodol. 29(4): 26:1-26:37 (2020)
[j50]
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Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin:
Modular Tree Network for Source Code Representation Learning. ACM Trans. Softw. Eng. Methodol. 29(4): 31:1-31:23 (2020)
[j49]
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  - journals/tse/FanXLH20
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Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan:
Chaff from the Wheat: Characterizing and Determining Valid Bug Reports. IEEE Trans. Software Eng. 46(5): 495-525 (2020)
[j48]
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  - journals/tse/ZouLCXFX20
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Weiqin Zou, David Lo, Zhenyu Chen, Xin Xia, Yang Feng, Baowen Xu:
How Practitioners Perceive Automated Bug Report Management Techniques. IEEE Trans. Software Eng. 46(8): 836-862 (2020)
[j47]
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Qiao Huang, Xin Xia, David Lo, Gail C. Murphy:
Automating Intention Mining. IEEE Trans. Software Eng. 46(10): 1098-1119 (2020)
[j46]
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Zhiyuan Wan, Xin Xia, Ahmed E. Hassan, David Lo, Jianwei Yin, Xiaohu Yang:
Perceptions, Expectations, and Challenges in Defect Prediction. IEEE Trans. Software Eng. 46(11): 1241-1266 (2020)
[c107]
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  - conf/ccs/WuZMW0PN020
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Tingmin Wu, Rongjunchen Zhang, Wanlun Ma, Sheng Wen, Xin Xia, Cécile Paris, Surya Nepal, Yang Xiang:
What risk? I don't understand. An Empirical Study on Users' Understanding of the Terms Used in Security Texts. AsiaCCS 2020: 248-262
[c106]
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  - conf/icse/LiuH0S0L20
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Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
Is using deep learning frameworks free?: characterizing technical debt in deep learning frameworks. ICSE-SEIS 2020: 1-10
[c105]
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  - conf/icse/RenSX0S20
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Xiaoxue Ren, Jiamou Sun, Zhenchang Xing, Xin Xia, Jianling Sun:
Demystify official API usage directives with crowdsourced API misuse scenarios, erroneous code examples and patches. ICSE 2020: 925-936
[c104]
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  - conf/icsm/HanD0ZY020
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Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia:
An Empirical Study of the Dependency Networks of Deep Learning Libraries. ICSME 2020: 868-878
[c103]
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  - conf/iwpc/LiuLW0FJ20
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Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin:
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning. ICPC 2020: 37-47
[c102]
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  - conf/iwpc/HeXY0L20
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Jianjun He, Ling Xu, Meng Yan, Xin Xia, Yan Lei:
Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks. ICPC 2020: 117-127
[c101]
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Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, Yan Lei:
Improving Code Search with Co-Attentive Representation Learning. ICPC 2020: 196-207
[c100]
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  - conf/kbse/WeiLLXJ20
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Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin:
Retrieve and Refine: Exemplar-based Neural Comment Generation. ASE 2020: 349-360
[c99]
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  - conf/kbse/RenYXXXZS20
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Xiaoxue Ren, Xinyuan Ye, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Jianling Sun:
API-Misuse Detection Driven by Fine-Grained API-Constraint Knowledge Graph. ASE 2020: 461-472
[c98]
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  - conf/kbse/LiuXYL20
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Zhongxin Liu, Xin Xia, Meng Yan, Shanping Li:
Automating Just-In-Time Comment Updating. ASE 2020: 585-597
[c97]
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  - conf/kbse/WanMX20
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Zhiyuan Wan, Gail C. Murphy, Xin Xia:
Predicting Code Context Models for Software Development Tasks. ASE 2020: 809-820
[c96]
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  - conf/sigsoft/Yan0F0HZ20
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Meng Yan, Xin Xia, Yuanrui Fan, David Lo, Ahmed E. Hassan, Xindong Zhang:
Effort-aware just-in-time defect identification in practice: a case study at Alibaba. ESEC/SIGSOFT FSE 2020: 1308-1319
[c95]
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Boao Li, Meng Yan, Xin Xia, Xing Hu, Ge Li, David Lo:
DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information. ESEC/SIGSOFT FSE 2020: 1571-1575
[c94]
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Lingfeng Bao, Shengyi Pan, Zhenchang Xing, Xin Xia, David Lo, Xiaohu Yang:
Enhancing developer interactions with programming screencasts through accurate code extraction. ESEC/SIGSOFT FSE 2020: 1581-1585
[c93]
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Fangcheng Qiu, Meng Yan, Xin Xia, Xinyu Wang, Yuanrui Fan, Ahmed E. Hassan, David Lo:
JITO: a tool for just-in-time defect identification and localization. ESEC/SIGSOFT FSE 2020: 1586-1590
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Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin:
Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. SANER 2020: 261-271
[i30]
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  - journals/corr/abs-2001-07125
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Zhipeng Gao, Lingxiao Jiang, Xin Xia, David Lo, John C. Grundy:
Checking Smart Contracts with Structural Code Embedding. CoRR abs/2001.07125 (2020)
[i29]
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  - journals/corr/abs-2002-03552
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Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. CoRR abs/2002.03552 (2020)
[i28]
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  - journals/corr/abs-2002-08653
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Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin:
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. CoRR abs/2002.08653 (2020)
[i27]
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  - journals/corr/abs-2005-07908
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Jiachi Chen, Xin Xia, David Lo, John C. Grundy:
Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum. CoRR abs/2005.07908 (2020)
[i26]
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  - journals/corr/abs-2005-10157
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Zhipeng Gao, Xin Xia, John C. Grundy, David Lo, Yuan-Fang Li:
Generating Question Titles for Stack Overflow from Mined Code Snippets. CoRR abs/2005.10157 (2020)
[i25]
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  - journals/corr/abs-2005-13167
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Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang:
How does Working from Home Affect Developer Productivity? - A Case Study of Baidu During COVID-19 Pandemic. CoRR abs/2005.13167 (2020)
[i24]
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  - journals/corr/abs-2005-14373
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Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li:
Simplifying Deep-Learning-Based Model for Code Search. CoRR abs/2005.14373 (2020)
[i23]
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  - journals/corr/abs-2006-14244
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Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
On the Replicability and Reproducibility of Deep Learning in Software Engineering. CoRR abs/2006.14244 (2020)
[i22]
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  - journals/corr/abs-2006-14765
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Tingmin Wu, Wanlun Ma, Sheng Wen, Xin Xia, Cécile Paris, Surya Nepal, Yang Xiang:
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity. CoRR abs/2006.14765 (2020)
[i21]
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  - journals/corr/abs-2007-00286
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Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
Maintaining Smart Contracts on Ethereum: Issues, Techniques, and Future Challenges. CoRR abs/2007.00286 (2020)
[i20]
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  - journals/corr/abs-2007-03885
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Rubing Huang, Weifeng Sun, Yinyin Xu, Haibo Chen, Dave Towey, Xin Xia:
A Survey on Adaptive Random Testing. CoRR abs/2007.03885 (2020)
[i19]
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  - journals/corr/abs-2007-10851
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Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Yuan-Fang Li:
Code2Que: A Tool for Improving Question Titles from Mined Code Snippets in Stack Overflow. CoRR abs/2007.10851 (2020)
[i18]
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  - journals/corr/abs-2008-03656
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Yanming Yang, Xin Xia, David Lo, Tingting Bi, John C. Grundy, Xiaohu Yang:
Predictive Models in Software Engineering: Challenges and Opportunities. CoRR abs/2008.03656 (2020)
[i17]
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  - journals/corr/abs-2008-09976
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Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. CoRR abs/2008.09976 (2020)
[i16]
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  - journals/corr/abs-2008-12112
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Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis. CoRR abs/2008.12112 (2020)
[i15]
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  - journals/corr/abs-2009-02663
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Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiapu Luo, Ting Chen:
DEFECTCHECKER: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode. CoRR abs/2009.02663 (2020)
[i14]
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  - journals/corr/abs-2010-02472
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Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li:
What Makes a Popular Academic AI Repository? CoRR abs/2010.02472 (2020)
[i13]
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  - journals/corr/abs-2010-04459
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Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin:
Retrieve and Refine: Exemplar-based Neural Comment Generation. CoRR abs/2010.04459 (2020)
[i12]
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  - journals/corr/abs-2010-04892
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Jiakun Liu, Xin Xia, David Lo, Haoxiang Zhang, Ying Zou, Ahmed E. Hassan, Shanping Li:
Broken External Links on Stack Overflow. CoRR abs/2010.04892 (2020)
[i11]
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  - journals/corr/abs-2010-06301
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Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu:
Automating App Review Response Generation Based on Contextual Knowledge. CoRR abs/2010.06301 (2020)
[i10]
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  - journals/corr/abs-2011-02297
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Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy:
Opportunities and Challenges in Code Search Tools. CoRR abs/2011.02297 (2020)
[i9]
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  - journals/corr/abs-2011-14597
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Yanming Yang, Xin Xia, David Lo, John C. Grundy:
A Survey on Deep Learning for Software Engineering. CoRR abs/2011.14597 (2020)
[i8]
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  - journals/corr/abs-2012-10095
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Humphrey O. Obie, Waqar Hussain, Xin Xia, John C. Grundy, Li Li, Burak Turhan, Jon Whittle, Mojtaba Shahin:
A First Look at Human Values-Violation in App Reviews. CoRR abs/2012.10095 (2020)
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2010 – 2019

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2019
[j45]
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Zhongxin Liu, Xin Xia, David Lo, John C. Grundy:
Automatic, highly accurate app permission recommendation. Autom. Softw. Eng. 26(2): 241-274 (2019)
[j44]
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Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang, Shanping Li:
Software quality assessment model: a systematic mapping study. Sci. China Inf. Sci. 62(9): 191101:1-191101:18 (2019)
[j43]
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Jiajun Jiang, Yingfei Xiong, Xin Xia:
A manual inspection of Defects4J bugs and its implications for automatic program repair. Sci. China Inf. Sci. 62(10): 200102:1-200102:16 (2019)
[j42]
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  - journals/ese/YanXLHL19
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Meng Yan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li:
Characterizing and identifying reverted commits. Empir. Softw. Eng. 24(4): 2171-2208 (2019)
[j41]
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  - journals/ese/HuangXL19
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Qiao Huang, Xin Xia, David Lo:
Revisiting supervised and unsupervised models for effort-aware just-in-time defect prediction. Empir. Softw. Eng. 24(5): 2823-2862 (2019)
[j40]
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  - journals/ese/WanLXC19
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Zhiyuan Wan, David Lo, Xin Xia, Liang Cai:
Practical and effective sandboxing for Linux containers. Empir. Softw. Eng. 24(6): 4034-4070 (2019)
[j39]
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  - journals/imwut/WanBGTXML19
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Zhiyuan Wan, Lingfeng Bao, Debin Gao, Eran Toch, Xin Xia, Tamir Mendel, David Lo:
AppMoD: Helping Older Adults Manage Mobile Security with Online Social Help. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 154:1-154:22 (2019)
[j38]
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  - journals/infsof/LiuYXYZ19
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Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang:
A two-phase transfer learning model for cross-project defect prediction. Inf. Softw. Technol. 107: 125-136 (2019)
[j37]
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  - journals/infsof/Wang00L19
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Qingye Wang, Xin Xia, David Lo, Shanping Li:
Why is my code change abandoned? Inf. Softw. Technol. 110: 108-120 (2019)
[j36]
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  - journals/infsof/ZhouSXLC19
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Tianchi Zhou, Xiaobing Sun, Xin Xia, Bin Li, Xiang Chen:
Improving defect prediction with deep forest. Inf. Softw. Technol. 114: 204-216 (2019)
[j35]
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  - journals/jss/JiangLZXYZ19
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Jing Jiang, David Lo, Jiateng Zheng, Xin Xia, Yun Yang, Li Zhang:
Who should make decision on this pull request? Analyzing time-decaying relationships and file similarities for integrator prediction. J. Syst. Softw. 154: 196-210 (2019)
[j34]
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  - journals/smr/NiCXGZ19
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Chao Ni, Xiang Chen, Xin Xia, Qing Gu, Yingquan Zhao:
Multitask defect prediction. J. Softw. Evol. Process. 31(12) (2019)
[j33]
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  - journals/tosem/RenXXLWG19
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Xiaoxue Ren, Zhenchang Xing, Xin Xia, David Lo, Xinyu Wang, John Grundy:
Neural Network-based Detection of Self-Admitted Technical Debt: From Performance to Explainability. ACM Trans. Softw. Eng. Methodol. 28(3): 15 (2019)
[j32]
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  - journals/tse/BaoXXL19
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Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo:
VT-Revolution: Interactive Programming Video Tutorial Authoring and Watching System. IEEE Trans. Software Eng. 45(8): 823-838 (2019)
[j31]
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  - journals/tse/YanXSLYY19
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Meng Yan, Xin Xia, Emad Shihab, David Lo, Jianwei Yin, Xiaohu Yang:
Automating Change-Level Self-Admitted Technical Debt Determination. IEEE Trans. Software Eng. 45(12): 1211-1229 (2019)
[c91]
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  - conf/compsac/HanDXWY19
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Junxiao Han, Shuiguang Deng, Xin Xia, Dongjing Wang, Jianwei Yin:
Characterization and Prediction of Popular Projects on GitHub. COMPSAC (1) 2019: 21-26
[c90]
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  - conf/icse/Kochhar0019
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Pavneet Singh Kochhar, Xin Xia, David Lo:
Practitioners' views on good software testing practices. ICSE (SEIP) 2019: 61-70
[c89]
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Dehai Zhao, Zhenchang Xing, Chunyang Chen, Xin Xia, Guoqiang Li:
ActionNet: vision-based workflow action recognition from programming screencasts. ICSE 2019: 350-361
[c88]
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  - conf/icse/LeB00LP19
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Xuan-Bach Dinh Le, Lingfeng Bao, David Lo, Xin Xia, Shanping Li, Corina S. Pasareanu:
On reliability of patch correctness assessment. ICSE 2019: 524-535
[c87]
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  - conf/icse/0001WK019
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Xin Xia, Zhiyuan Wan, Pavneet Singh Kochhar, David Lo:
How practitioners perceive coding proficiency. ICSE 2019: 924-935
[c86]
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  - conf/icsm/0002AGLX19
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Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia:
Do Energy-Oriented Changes Hinder Maintainability? ICSME 2019: 29-40
[c85]
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  - conf/icsm/JinCX19
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Zhe Jin, Kong-Yik Chee, Xin Xia:
What Do Developers Discuss about Biometric APIs? ICSME 2019: 348-352
[c84]
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  - conf/icsm/GaoJJ00G19
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Zhipeng Gao, Vinoj Jayasundara, Lingxiao Jiang, Xin Xia, David Lo, John C. Grundy:
SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding. ICSME 2019: 394-397
[c83]
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  - conf/internetware/WangXXWL19
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Qingye Wang, Bowen Xu, Xin Xia, Ting Wang, Shanping Li:
Duplicate Pull Request Detection: When Time Matters. Internetware 2019: 8:1-8:10
[c82]
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  - conf/kbse/RenX00S19
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Xiaoxue Ren, Zhenchang Xing, Xin Xia, Guoqiang Li, Jianling Sun:
Discovering, Explaining and Summarizing Controversial Discussions in Community Q&A Sites. ASE 2019: 151-162
[c81]
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  - conf/kbse/GaoZX0LK19
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Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. ASE 2019: 163-175
[c80]
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  - conf/kbse/Liu0T0L19
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Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li:
Automatic Generation of Pull Request Descriptions. ASE 2019: 176-188
[c79]
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  - conf/nips/WeiL0FJ19
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Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin:
Code Generation as a Dual Task of Code Summarization. NeurIPS 2019: 6559-6569
[c78]
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  - conf/qrs/ZouZ0H019
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Weiqin Zou, Weiqiang Zhang, Xin Xia, Reid Holmes, Zhenyu Chen:
Branch Use in Practice: A Large-Scale Empirical Study of 2, 923 Projects on GitHub. QRS 2019: 306-317
[c77]
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  - conf/sigsoft/CaiWH0X019
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Liang Cai, Haoye Wang, Qiao Huang, Xin Xia, Zhenchang Xing, David Lo:
BIKER: a tool for Bi-information source based API method recommendation. ESEC/SIGSOFT FSE 2019: 1075-1079
[c76]
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  - conf/sigsoft/CaiWXH00X19
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Liang Cai, Haoye Wang, Bowen Xu, Qiao Huang, Xin Xia, David Lo, Zhenchang Xing:
AnswerBot: an answer summary generation tool based on stack overflow. ESEC/SIGSOFT FSE 2019: 1134-1138
[c75]
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Xinyu Wang, David Lo, Emad Shihab, Xin Xia:
Message from the General Chair, Program Co-Chairs, and Local Chair. SANER 2019: iii-iv
[i7]
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Jiachi Chen, Xin Xia, David Lo, John Grundy, Daniel Xiapu Luo, Ting Chen:
Domain Specific Code Smells in Smart Contracts. CoRR abs/1905.01467 (2019)
[i6]
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Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia:
Do Energy-oriented Changes Hinder Maintainability? CoRR abs/1908.08332 (2019)
[i5]
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Zhipeng Gao, Vinoj Jayasundara, Lingxiao Jiang, Xin Xia, David Lo, John C. Grundy:
SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding. CoRR abs/1908.08615 (2019)
[i4]
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Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li:
Automatic Generation of Pull Request Descriptions. CoRR abs/1909.06987 (2019)
[i3]
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Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin:
Code Generation as a Dual Task of Code Summarization. CoRR abs/1910.05923 (2019)
2018
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Xiaobing Sun, Wenyuan Xu, Xin Xia, Xiang Chen, Bin Li:
Personalized project recommendation on GitHub. Sci. China Inf. Sci. 61(5): 050106:1-050106:14 (2018)
[j29]
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Qiao Huang, Emad Shihab, Xin Xia, David Lo, Shanping Li:
Identifying self-admitted technical debt in open source projects using text mining. Empir. Softw. Eng. 23(1): 418-451 (2018)
[j28]
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Bowen Xu, Zhenchang Xing, Xin Xia, David Lo, Shanping Li:
Domain-specific cross-language relevant question retrieval. Empir. Softw. Eng. 23(2): 1084-1122 (2018)
[j27]
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Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Ahmed E. Hassan:
Inference of development activities from interaction with uninstrumented applications. Empir. Softw. Eng. 23(3): 1313-1351 (2018)
[j26]
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Yun Zhang, David Lo, Xin Xia, Giuseppe Scanniello, Tien-Duy B. Le, Jianling Sun:
Fusing multi-abstraction vector space models for concern localization. Empir. Softw. Eng. 23(4): 2279-2322 (2018)
[j25]
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Yuanrui Fan, Xin Xia, David Lo, Shanping Li:
Early prediction of merged code changes to prioritize reviewing tasks. Empir. Softw. Eng. 23(6): 3346-3393 (2018)
[j24]
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Yun Zhang, David Lo, Xin Xia, Jianling Sun:
Combined classifier for cross-project defect prediction: an extended empirical study. Frontiers Comput. Sci. 12(2): 280-296 (2018)
[j23]
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Xin Xia, Lingfeng Bao, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li:
Measuring Program Comprehension: A Large-Scale Field Study with Professionals. IEEE Trans. Software Eng. 44(10): 951-976 (2018)
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Qiuyuan Chen, Lingfeng Bao, Li Li, Xin Xia, Liang Cai:
Categorizing and Predicting Invalid Vulnerabilities on Common Vulnerabilities and Exposures. APSEC 2018: 345-354
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Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang:
Cross-Project Change-Proneness Prediction. COMPSAC (1) 2018: 64-73
[c72]
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Xiaoxue Ren, Qiao Huang, Xin Xia, Zhenchang Xing, Lingfeng Bao, David Lo:
Characterizing Common and Domain-Specific Package Bugs: A Case Study on Ubuntu. COMPSAC (1) 2018: 426-431
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Zhongxin Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
SATD detector: a text-mining-based self-admitted technical debt detection tool. ICSE (Companion Volume) 2018: 9-12
[c70]
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Xin Xia, Lingfeng Bao, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li:
Measuring program comprehension: a large-scale field study with professionals. ICSE 2018: 584
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Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Ahmed E. Hassan:
Inference of development activities from interaction with uninstrumented applications. ICSE 2018: 897
[c68]
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Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin:
Summarizing Source Code with Transferred API Knowledge. IJCAI 2018: 2269-2275
[c67]
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Yun Zhang, David Lo, Xin Xia, Jing Jiang, Jianling Sun:
Recommending frequently encountered bugs. ICPC 2018: 120-131
[c66]
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Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin:
Deep code comment generation. ICPC 2018: 200-210
[c65]
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Giovanni Viviani, Calahan Janik-Jones, Michalis Famelis, Xin Xia, Gail C. Murphy:
What design topics do developers discuss? ICPC 2018: 328-331
[c64]
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Qiao Huang, Xin Xia, Zhenchang Xing, David Lo, Xinyu Wang:
API method recommendation without worrying about the task-API knowledge gap. ASE 2018: 293-304
[c63]
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Zhongxin Liu, Xin Xia, Ahmed E. Hassan, David Lo, Zhenchang Xing, Xinyu Wang:
Neural-machine-translation-based commit message generation: how far are we? ASE 2018: 373-384
[c62]
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Li Li, Jun Gao, Tegawendé F. Bissyandé, Lei Ma, Xin Xia, Jacques Klein:
Characterising deprecated Android APIs. MSR 2018: 254-264
[c61]
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Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li:
VT-revolution: interactive programming tutorials made possible. ESEC/SIGSOFT FSE 2018: 924-927
[i2]
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Xuan-Bach Dinh Le, Lingfeng Bao, David Lo, Xin Xia, Shanping Li:
On Reliability of Patch Correctness Assessment. CoRR abs/1805.05983 (2018)
2017
[j22]
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Xin Xia, David Lo:
An effective change recommendation approach for supplementary bug fixes. Autom. Softw. Eng. 24(2): 455-498 (2017)
[j21]
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Lingfeng Bao, David Lo, Xin Xia, Shanping Li:
Automated Android application permission recommendation. Sci. China Inf. Sci. 60(9): 092110:1-092110:17 (2017)
[j20]
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Lingfeng Bao, Jing Li, Zhenchang Xing, Xinyu Wang, Xin Xia, Bo Zhou:
Extracting and analyzing time-series HCI data from screen-captured task videos. Empir. Softw. Eng. 22(1): 134-174 (2017)
[j19]
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Jing Jiang, David Lo, Jia-Huan He, Xin Xia, Pavneet Singh Kochhar, Li Zhang:
Why and how developers fork what from whom in GitHub. Empir. Softw. Eng. 22(1): 547-578 (2017)
[j18]
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Xin Xia, Lingfeng Bao, David Lo, Pavneet Singh Kochhar, Ahmed E. Hassan, Zhenchang Xing:
What do developers search for on the web? Empir. Softw. Eng. 22(6): 3149-3185 (2017)
[j17]
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Xinli Yang, David Lo, Xin Xia, Jianling Sun:
TLEL: A two-layer ensemble learning approach for just-in-time defect prediction. Inf. Softw. Technol. 87: 206-220 (2017)
[j16]
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Xinli Yang, David Lo, Li Li, Xin Xia, Tegawendé F. Bissyandé, Jacques Klein:
Characterizing malicious Android apps by mining topic-specific data flow signatures. Inf. Softw. Technol. 90: 27-39 (2017)
[j15]
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Xinli Yang, David Lo, Xin Xia, Qiao Huang, Jian-Ling Sun:
High-Impact Bug Report Identification with Imbalanced Learning Strategies. J. Comput. Sci. Technol. 32(1): 181-198 (2017)
[j14]
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Xiaobing Sun, Hui Yang, Xin Xia, Bin Li:
Enhancing developer recommendation with supplementary information via mining historical commits. J. Syst. Softw. 134: 355-368 (2017)
[j13]
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Xin Xia, David Lo, Ying Ding, Jafar M. Al-Kofahi, Tien N. Nguyen, Xinyu Wang:
Improving Automated Bug Triaging with Specialized Topic Model. IEEE Trans. Software Eng. 43(3): 272-297 (2017)
[c60]
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Meng Yan, Xiaohong Zhang, Ling Xu, Haibo Hu, Song Sun, Xin Xia:
Revisiting the Correlation Between Alerts and Software Defects: A Case Study on MyFaces, Camel, and CXF. COMPSAC (1) 2017: 103-108
[c59]
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Meng Yan, Yicheng Fang, David Lo, Xin Xia, Xiaohong Zhang:
File-Level Defect Prediction: Unsupervised vs. Supervised Models. ESEM 2017: 344-353
[c58]
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Meng Yan, Xiaohong Zhang, Chao Liu, Jie Zou, Ling Xu, Xin Xia:
Learning to aggregate: an automated aggregation method for software quality model. ICSE (Companion Volume) 2017: 268-270
[c57]
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Qiao Huang, Xin Xia, David Lo:
Supervised vs Unsupervised Models: A Holistic Look at Effort-Aware Just-in-Time Defect Prediction. ICSME 2017: 159-170
[c56]
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Xin Xia, David Lo, Lingfeng Bao, Abhishek Sharma, Shanping Li:
Personality and Project Success: Insights from a Large-Scale Study with Professionals. ICSME 2017: 318-328
[c55]
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Meng Yan, Xin Xia, Xiaohong Zhang, Dan Yang, Ling Xu:
Automating Aggregation for Software Quality Modeling. ICSME 2017: 529-533
[c54]
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Zhiyuan Wan, David Lo, Xin Xia, Liang Cai, Shanping Li:
Mining Sandboxes for Linux Containers. ICST 2017: 92-102
[c53]
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Wenyuan Xu, Xiaobing Sun, Xin Xia, Xiang Chen:
Scalable Relevant Project Recommendation on GitHub. Internetware 2017: 9:1-9:10
[c52]
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Huan Yu, Xin Xia, Xiaoqiong Zhao, Weiwei Qiu:
Combining Collaborative Filtering and Topic Modeling for More Accurate Android Mobile App Library Recommendation. Internetware 2017: 17:1-17:6
[c51]
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Qiao Huang, David Lo, Xin Xia, Qingye Wang, Shanping Li:
Which Packages Would be Affected by This Bug Report? ISSRE 2017: 124-135
[c50]
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Tao Zhang, Jiachi Chen, He Jiang, Xiapu Luo, Xin Xia:
Bug report enrichment with application of automated fixer recommendation. ICPC 2017: 230-240
[c49]
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Bowen Xu, Zhenchang Xing, Xin Xia, David Lo:
AnswerBot: automated generation of answer summary to developersź technical questions. ASE 2017: 706-716
[c48]
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Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li:
Who will leave the company?: a large-scale industry study of developer turnover by mining monthly work report. MSR 2017: 170-181
[c47]
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Zhiyuan Wan, David Lo, Xin Xia, Liang Cai:
Bug characteristics in blockchain systems: a large-scale empirical study. MSR 2017: 413-424
[c46]
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Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang:
A Systematic Mapping Study of Quality Assessment Models for Software Products. SATE 2017: 63-71
[c45]
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Bowen Xu, Zhenchang Xing, Xin Xia, David Lo, Xuan-Bach Dinh Le:
XSearch: a domain-specific cross-language relevant question retrieval tool. ESEC/SIGSOFT FSE 2017: 1009-1013
[c44]
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Yun Zhang, David Lo, Pavneet Singh Kochhar, Xin Xia, Quanlai Li, Jianling Sun:
Detecting similar repositories on GitHub. SANER 2017: 13-23
[i1]
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Zhiyuan Wan, David Lo, Xin Xia, Liang Cai, Shanping Li:
Mining Sandboxes for Linux Containers. CoRR abs/1712.05493 (2017)
2016
[j12]
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Xin Xia, Liang Gong, Tien-Duy B. Le, David Lo, Lingxiao Jiang, Hongyu Zhang:
Diversity maximization speedup for localizing faults in single-fault and multi-fault programs. Autom. Softw. Eng. 23(1): 43-75 (2016)
[j11]
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Xinli Yang, David Lo, Xin Xia, Zhiyuan Wan, Jian-Ling Sun:
What Security Questions Do Developers Ask? A Large-Scale Study of Stack Overflow Posts. J. Comput. Sci. Technol. 31(5): 910-924 (2016)
[j10]
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Xin Xia, David Lo, Emad Shihab, Xinyu Wang:
Automated Bug Report Field Reassignment and Refinement Prediction. IEEE Trans. Reliab. 65(3): 1094-1113 (2016)
[j9]
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Xin Xia, David Lo, Xinyu Wang, Xiaohu Yang:
Collective Personalized Change Classification With Multiobjective Search. IEEE Trans. Reliab. 65(4): 1810-1829 (2016)
[j8]
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Xin Xia, David Lo, Sinno Jialin Pan, Nachiappan Nagappan, Xinyu Wang:
HYDRA: Massively Compositional Model for Cross-Project Defect Prediction. IEEE Trans. Software Eng. 42(10): 977-998 (2016)
[c43]
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Xinli Yang, David Lo, Xin Xia, Jianling Sun:
Condensing Class Diagrams With Minimal Manual Labeling Cost. COMPSAC 2016: 22-31
[c42]
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Xin Xia, David Lo, Denzil Correa, Ashish Sureka, Emad Shihab:
It Takes Two to Tango: Deleted Stack Overflow Question Prediction with Text and Meta Features. COMPSAC 2016: 73-82
[c41]
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Xinli Yang, David Lo, Qiao Huang, Xin Xia, Jianling Sun:
Automated Identification of High Impact Bug Reports Leveraging Imbalanced Learning Strategies. COMPSAC 2016: 227-232
[c40]
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Xin Xia, Emad Shihab, Yasutaka Kamei, David Lo, Xinyu Wang:
Predicting Crashing Releases of Mobile Applications. ESEM 2016: 29:1-29:10
[c39]
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Yun Zhang, David Lo, Xin Xia, Tien-Duy B. Le, Giuseppe Scanniello, Jianling Sun:
Inferring Links between Concerns and Methods with Multi-abstraction Vector Space Model. ICSME 2016: 110-121
[c38]
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Xin Xia, Lingfeng Bao, David Lo, Shanping Li:
"Automated Debugging Considered Harmful" Considered Harmful: A User Study Revisiting the Usefulness of Spectra-Based Fault Localization Techniques with Professionals Using Real Bugs from Large Systems. ICSME 2016: 267-278
[c37]
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Xinli Yang, David Lo, Xin Xia, Lingfeng Bao, Jianling Sun:
Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports. ISSRE 2016: 127-137
[c36]
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Pavneet Singh Kochhar, Xin Xia, David Lo, Shanping Li:
Practitioners' expectations on automated fault localization. ISSTA 2016: 165-176
[c35]
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Bowen Xu, Deheng Ye, Zhenchang Xing, Xin Xia, Guibin Chen, Shanping Li:
Predicting semantically linkable knowledge in developer online forums via convolutional neural network. ASE 2016: 51-62
[c34]
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Lingfeng Bao, David Lo, Xin Xia, Xinyu Wang, Cong Tian:
How android app developers manage power consumption?: an empirical study by mining power management commits. MSR 2016: 37-48
[c33]
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Bowen Xu, Zhenchang Xing, Xin Xia, David Lo, Qingye Wang, Shanping Li:
Domain-specific cross-language relevant question retrieval. MSR 2016: 413-424
[c32]
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Lingfeng Bao, David Lo, Xin Xia, Shanping Li:
What Permissions Should This Android App Request? SATE 2016: 36-41
2015
[j7]
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Xin Xia, David Lo, Emad Shihab, Xinyu Wang, Bo Zhou:
Automatic, high accuracy prediction of reopened bugs. Autom. Softw. Eng. 22(1): 75-109 (2015)
[j6]
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Yuan Tian, David Lo, Xin Xia, Chengnian Sun:
Automated prediction of bug report priority using multi-factor analysis. Empir. Softw. Eng. 20(5): 1354-1383 (2015)
[j5]
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Xin Xia, David Lo, Emad Shihab, Xinyu Wang, Xiaohu Yang:
ELBlocker: Predicting blocking bugs with ensemble imbalance learning. Inf. Softw. Technol. 61: 93-106 (2015)
[j4]
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Yun Zhang, David Lo, Xin Xia, Jianling Sun:
Multi-Factor Duplicate Question Detection in Stack Overflow. J. Comput. Sci. Technol. 30(5): 981-997 (2015)
[j3]
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Xinyu Wang, Xin Xia, David Lo:
TagCombine: Recommending Tags to Contents in Software Information Sites. J. Comput. Sci. Technol. 30(5): 1017-1035 (2015)
[j2]
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Xin Xia, David Lo, Xinyu Wang, Bo Zhou:
Dual analysis for recommending developers to resolve bugs. J. Softw. Evol. Process. 27(3): 195-220 (2015)
[c31]
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Bowen Xu, David Lo, Xin Xia, Ashish Sureka, Shanping Li:
EFSPredictor: Predicting Configuration Bugs with Ensemble Feature Selection. APSEC 2015: 206-213
[c30]
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Weiqin Zou, Xin Xia, Weiqiang Zhang, Zhenyu Chen, David Lo:
An Empirical Study of Bug Fixing Rate. COMPSAC 2015: 254-263
[c29]
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Yun Zhang, David Lo, Xin Xia, Jianling Sun:
An Empirical Study of Classifier Combination for Cross-Project Defect Prediction. COMPSAC 2015: 264-269
[c28]
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Xin Xia, David Lo, Jingfan Tang, Shanping Li:
Customer satisfaction feedback in an IT outsourcing company: a case study on the insigma Hengtian company. EASE 2015: 34:1-34:5
[c27]
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Yun Zhang, David Lo, Xin Xia, Bowen Xu, Jianling Sun, Shanping Li:
Combining Software Metrics and Text Features for Vulnerable File Prediction. ICECCS 2015: 40-49
[c26]
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Xin Xia, David Lo, Xinyu Wang, Xiaohu Yang:
Who should review this change?: Putting text and file location analyses together for more accurate recommendations. ICSME 2015: 261-270
[c25]
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Xin Xia, David Lo, Pavneet Singh Kochhar, Zhenchang Xing, Xinyu Wang, Shanping Li:
Experience report: An industrial experience report on test outsourcing practices. ISSRE 2015: 370-380
[c24]
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Lingfeng Bao, Deheng Ye, Zhenchang Xing, Xin Xia, Xinyu Wang:
ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs. ASE 2015: 864-869
[c23]
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Xinli Yang, David Lo, Xin Xia, Yun Zhang, Jianling Sun:
Deep Learning for Just-in-Time Defect Prediction. QRS 2015: 17-26
[c22]
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Xiao Xuan, David Lo, Xin Xia, Yuan Tian:
Evaluating defect prediction approaches using a massive set of metrics: an empirical study. SAC 2015: 1644-1647
[c21]
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Xin Xia, David Lo, Shane McIntosh, Emad Shihab, Ahmed E. Hassan:
Cross-project build co-change prediction. SANER 2015: 311-320
2014
[j1]
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Xin Xia, Xiaozhen Zhou, David Lo, Xiaoqiong Zhao, Ye Wang:
An Empirical Study of Bugs in Software Build System. IEICE Trans. Inf. Syst. 97-D(7): 1769-1780 (2014)
[c20]
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Bo Zhou, Xin Xia, David Lo, Xinyu Wang:
Build Predictor: More Accurate Missed Dependency Prediction in Build Configuration Files. COMPSAC 2014: 53-58
[c19]
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Xin Xia, David Lo, Weiwei Qiu, Xingen Wang, Bo Zhou:
Automated Configuration Bug Report Prediction Using Text Mining. COMPSAC 2014: 107-116
[c18]
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Xin Xia, Yang Feng, David Lo, Zhenyu Chen, Xinyu Wang:
Towards more accurate multi-label software behavior learning. CSMR-WCRE 2014: 134-143
[c17]
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Xin Xia, David Lo, Ming Wen, Emad Shihab, Bo Zhou:
An empirical study of bug report field reassignment. CSMR-WCRE 2014: 174-183
[c16]
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Xin Xia, David Lo, Xinyu Wang, Bo Zhou:
Automatic Defect Categorization Based on Fault Triggering Conditions. ICECCS 2014: 39-48
[c15]
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Xinyu Wang, David Lo, Xin Xia, Xingen Wang, Pavneet Singh Kochhar, Yuan Tian, Xiaohu Yang, Shanping Li, Jianling Sun, Bo Zhou:
BOAT: an experimental platform for researchers to comparatively and reproducibly evaluate bug localization techniques. ICSE Companion 2014: 572-575
[c14]
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Bo Zhou, Xin Xia, David Lo, Cong Tian, Xinyu Wang:
Towards more accurate content categorization of API discussions. ICPC 2014: 95-105
[c13]
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Xin Xia, David Lo, Xingen Wang, Chenyi Zhang, Xinyu Wang:
Cross-language bug localization. ICPC 2014: 275-278
[c12]
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Lucia, David Lo, Xin Xia:
Fusion fault localizers. ASE 2014: 127-138
[c11]
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Xin Xia, David Lo, Xinyu Wang, Bo Zhou:
Build system analysis with link prediction. SAC 2014: 1184-1186
[c10]
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Xiaoqiong Zhao, Xin Xia, Pavneet Singh Kochhar, David Lo, Shanping Li:
An empirical study of bugs in build process. SAC 2014: 1187-1189
2013
[c9]
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Xin Xia, David Lo, Xinyu Wang, Xiaohu Yang, Shanping Li, Jianling Sun:
A Comparative Study of Supervised Learning Algorithms for Re-opened Bug Prediction. CSMR 2013: 331-334
[c8]
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Xin Xia, David Lo, Feng Zhu, Xinyu Wang, Bo Zhou:
Software Internationalization and Localization: An Industrial Experience. ICECCS 2013: 222-231
[c7]
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Xin Xia, David Lo, Xinyu Wang, Bo Zhou:
Tag recommendation in software information sites. MSR 2013: 287-296
[c6]
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Xin Xia, Xiaozhen Zhou, David Lo, Xiaoqiong Zhao:
An Empirical Study of Bugs in Software Build Systems. QSIC 2013: 200-203
[c5]
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Xin Xia, David Lo, Xinyu Wang, Bo Zhou:
Accurate developer recommendation for bug resolution. WCRE 2013: 72-81
2012
[c4]
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Xin Xia, Xiaohu Yang, Chao Wu, Shanping Li, Linfeng Bao:
Information Credibility on Twitter in Emergency Situation. PAISI 2012: 45-59
[c3]
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Xin Xia, Xiaohu Yang, Shanping Li, Chao Wu:
Instance-Ranking: A New Perspective to Consider the Instance Dependency for Classification. PAKDD Workshops 2012: 112-123
2011
[c2]
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Xin Xia, Xiaohu Yang, Shanping Li, Chao Wu, Linlin Zhou:
RW.KNN: a proposed random walk KNN algorithm for multi-label classification. PIKM@CIKM 2011: 87-90
[c1]
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Bo Zhou, Manna Wu, Xin Xia, Chao Wu:
Ranking in Co-effecting Multi-object/Link Types Networks. ICTAI 2011: 519-522
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