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ORCIDXin Peng 0001
Person information
- affiliation: Fudan University, Shanghai, China
Other persons with the same name
- Xin Peng — disambiguation page
- Xin Peng 0002
![[0000-0001-9042-5480]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9042-5480")
— Hunan Institute of Science and Technology, Yueyang, China - Xin Peng 0003 — East China University of Science and Technology, Shanghai, China
- Xin Peng 0004 — Shandong University of Traditional Chinese Medicine, Jinan, China
- Xin Peng 0005 — Chinese Academy of Sciences, Shanghai Institute of Microsystems and Information Technology, Beijing, China (and 1 more)
- Xin Peng 0006 — Tianjin University, School of Chemical Engineering and Technology, China
- Xin Peng 0007 — University of Science and Technology of China, ool of Information Science and Technology, CAS Key Laboratory of Wireless-Optical Communications, Hefei, China
- Xin Peng 0008 — Shanghai Jiao Tong University, School of Biomedical Engineering, China
- Xin Peng 0009 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
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2020 – today
- 2025
[j59]Yijian Wu, Yuan Chen, Xin Peng, Bin Hu, Xiaochen Wang, Baiqiang Fu, Wenyun Zhao:
CloneRipples: predicting change propagation between code clone instances by graph-based deep learning. Empir. Softw. Eng. 30(1): 14 (2025)- 2024
- [j58]Daihong Zhou, Yijian Wu, Xin Peng, Jiyue Zhang, Ziliang Li:
Revealing code change propagation channels by evolution history mining. J. Syst. Softw. 208: 111912 (2024) - [j57]Zhiqiang Yuan, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng, Yiling Lou:
Evaluating and Improving ChatGPT for Unit Test Generation. Proc. ACM Softw. Eng. 1(FSE): 1703-1726 (2024) - [j56]Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xin Peng, Xiwei Xu, Qinghua Lu:
FQN Inference in Partial Code by Prompt-tuned Language Model of Code. ACM Trans. Softw. Eng. Methodol. 33(2): 31:1-31:32 (2024) - [j55]Qing Huang, Zishuai Li, Zhenchang Xing, Zhengkang Zuo, Xin Peng, Xiwei Xu, Qinghua Lu:
Answering Uncertain, Under-Specified API Queries Assisted by Knowledge-Aware Human-AI Dialogue. IEEE Trans. Software Eng. 50(2): 280-295 (2024) - [c157]Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng:
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. ICSE 2024: 34:1-34:13 - [c156]Zhenhao Zhou, Chaofeng Sha, Xin Peng:
On Calibration of Pre-trained Code Models. ICSE 2024: 77:1-77:13 - [c155]Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou:
Evaluating Large Language Models in Class-Level Code Generation. ICSE 2024: 81:1-81:13 - [c154]Chenxi Zhang, Zhen Dong, Xin Peng, Bicheng Zhang, Miao Chen:
Trace-based Multi-Dimensional Root Cause Localization of Performance Issues in Microservice Systems. ICSE 2024: 110:1-110:12 - [c153]Susheng Wu, Wenyan Song, Kaifeng Huang, Bihuan Chen, Xin Peng:
Identifying Affected Libraries and Their Ecosystems for Open Source Software Vulnerabilities. ICSE 2024: 162:1-162:12 - [c152]Tianyi Wu, Liwei Shen, Zhen Dong, Xin Peng, Wenyun Zhao:
Synthesizing Programmatic Policy for Generalization within Task Domain. IJCAI 2024: 5217-5225 - [c151]Xuezhi Song, Yijian Wu, Shuning Liu, Bihuan Chen, Yun Lin, Xin Peng:
C2D2: Extracting Critical Changes for Real-World Bugs with Dependency-Sensitive Delta Debugging. ISSTA 2024: 300-312 - [c150]You Lu, Yifan Tian, Yuyang Bi, Bihuan Chen, Xin Peng:
DiaVio: LLM-Empowered Diagnosis of Safety Violations in ADS Simulation Testing. ISSTA 2024: 376-388 - [c149]Kaifeng Huang, Yingfeng Xia, Bihuan Chen, Siyang He, Huazheng Zeng, Zhuotong Zhou, Jin Guo, Xin Peng:
Your "Notice" Is Missing: Detecting and Fixing Violations of Modification Terms in Open Source Licenses during Forking. ISSTA 2024: 1022-1034 - [c148]Xiaobao Cai, Zhen Dong, Yongjiang Wang, Abhishek Tiwari, Xin Peng:
Reproducing Timing-Dependent GUI Flaky Tests in Android Apps via a Single Event Delay. ISSTA 2024: 1504-1515 - [c147]Dongfang Xie, Bihuan Chen, Kaifeng Huang, Yu Wang, Linghao Pan, Zhicheng Chen, Xin Peng:
Enhancing Field Tracking and Interprocedural Analysis to Find More Null Pointer Exceptions. SANER 2024: 849-859 - [i37]Chong Wang, Jian Zhang, Yebo Feng, Tianlin Li, Weisong Sun, Yang Liu, Xin Peng:
Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation. CoRR abs/2401.06391 (2024) - [i36]Yufei Zhao, Dingji Wang, Bihuan Chen, Ziqian Chen, Xin Peng:
A general approach to enhance the survivability of backdoor attacks by decision path coupling. CoRR abs/2403.02950 (2024) - [i35]Chong Wang, Kaifeng Huang, Jian Zhang, Yebo Feng, Lyuye Zhang, Yang Liu, Xin Peng:
How and Why LLMs Use Deprecated APIs in Code Completion? An Empirical Study. CoRR abs/2406.09834 (2024) - [i34]Junwei Liu, Yixuan Chen, Mingwei Liu, Xin Peng, Yiling Lou:
STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis. CoRR abs/2406.10018 (2024) - [i33]Xueying Du, Geng Zheng, Kaixin Wang, Jiayi Feng, Wentai Deng, Mingwei Liu, Bihuan Chen, Xin Peng, Tao Ma, Yiling Lou:
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG. CoRR abs/2406.11147 (2024) - [i32]Chong Wang, Jian Zhang, Yiling Lou, Mingwei Liu, Weisong Sun, Yang Liu, Xin Peng:
TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference. CoRR abs/2407.02095 (2024) - [i31]Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou:
Large Language Model-Based Agents for Software Engineering: A Survey. CoRR abs/2409.02977 (2024) - [i30]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) - [i29]Kaifeng Huang, Bihuan Chen, You Lu, Susheng Wu, Dingji Wang, Yiheng Huang, Haowen Jiang, Zhuotong Zhou, Junming Cao, Xin Peng:
Lifting the Veil on the Large Language Model Supply Chain: Composition, Risks, and Mitigations. CoRR abs/2410.21218 (2024) - 2023
- [j54]Bihuan Chen, Yang Liu, Xin Peng, Yijian Wu, Shengchao Qin:
Baton: symphony of random testing and concolic testing through machine learning and taint analysis. Sci. China Inf. Sci. 66(3) (2023) - [j53]Xin Peng:
Software development in the age of intelligence: embracing large language models with the right approach. Frontiers Inf. Technol. Electron. Eng. 24(11): 1513-1519 (2023) - [j52]Chong Wang, Xin Peng, Zhenchang Xing, Yue Zhang, Mingwei Liu, Rong Luo, Xiujie Meng:
XCoS: Explainable Code Search Based on Query Scoping and Knowledge Graph. ACM Trans. Softw. Eng. Methodol. 32(6): 140:1-140:28 (2023) - [j51]Feijia He, Liwei Shen, Xin Peng:
Resource Choreography in Cyber-Physical-Social Systems: Representation, Modeling and Execution. IEEE Trans. Serv. Comput. 16(1): 550-563 (2023) - [j50]Chong Wang, Xin Peng, Zhenchang Xing, Xiujie Meng:
Beyond Literal Meaning: Uncover and Explain Implicit Knowledge in Code Through Wikipedia-Based Concept Linking. IEEE Trans. Software Eng. 49(5): 3226-3240 (2023) - [j49]Mingwei Liu, Chengyuan Zhao, Xin Peng, Simin Yu, Haofen Wang, Chaofeng Sha:
Task-Oriented ML/DL Library Recommendation Based on a Knowledge Graph. IEEE Trans. Software Eng. 49(8): 4081-4096 (2023) - [c146]Ping Yu, Yijian Wu, Xin Peng, Jiahan Peng, Jian Zhang, Peicheng Xie, Wenyun Zhao:
ViolationTracker: Building Precise Histories for Static Analysis Violations. ICSE 2023: 2022-2034 - [c145]Mingwei Liu, Simin Yu, Xin Peng, Xueying Du, Tianyong Yang, Huanjun Xu, Gaoyang Zhang:
Knowledge Graph based Explainable Question Retrieval for Programming Tasks. ICSME 2023: 123-135 - [c144]Xuezhi Song, Yi Li, Zhen Dong, Shuning Liu, Junming Cao, Xin Peng:
An Empirical Study on Fault Diagnosis in Robotic Systems. ICSME 2023: 207-219 - [c143]Junming Cao, Bihuan Chen, Longjie Hu, Jie Gao, Kaifeng Huang, Xuezhi Song, Xin Peng:
Characterizing the Complexity and Its Impact on Testing in ML-Enabled Systems : A Case Sutdy on Rasa. ICSME 2023: 258-270 - [c142]Tong Zhou, Chenxi Zhang, Xin Peng, Zhenghui Yan, Pairui Li, Jianming Liang, Haibing Zheng, Wujie Zheng, Yuetang Deng:
TraceStream: Anomalous Service Localization based on Trace Stream Clustering with Online Feedback. ISSRE 2023: 601-611 - [c141]Shenglin Bao, Chaofeng Sha, Bihuan Chen, Xin Peng, Wenyun Zhao:
In Defense of Simple Techniques for Neural Network Test Case Selection. ISSTA 2023: 501-513 - [c140]Yiru Chen, Chenxi Zhang, Zhen Dong, Dingyu Yang, Xin Peng, Jiayu Ou, Hong Yang, Zheshun Wu, Xiaojun Qu, Wei Li:
Dynamic Graph Neural Networks-Based Alert Link Prediction for Online Service Systems. ASE 2023: 79-90 - [c139]Jiaxing Liu, Chaofeng Sha, Xin Peng:
An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models. ASE 2023: 397-408 - [c138]Mingwei Liu, Tianyong Yang, Yiling Lou, Xueying Du, Ying Wang, Xin Peng:
CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation. ASE 2023: 434-445 - [c137]Chong Wang, Yiling Lou, Junwei Liu, Xin Peng:
Generating Variable Explanations via Zero-shot Prompt Learning. ASE 2023: 748-760 - [c136]Xuezhi Song, Yijian Wu, Junming Cao, Bihuan Chen, Yun Lin, Zhengjie Lu, Dingji Wang, Xin Peng:
BugMiner: Automating Precise Bug Dataset Construction by Code Evolution History Mining. ASE 2023: 1919-1929 - [c135]Tianyi Chen, Qidi Wang, Zhen Dong, Liwei Shen, Xin Peng:
Enhancing Robot Program Synthesis Through Environmental Context. NeurIPS 2023 - [c134]Kaifeng Huang, Bihuan Chen, Susheng Wu, Junming Cao, Lei Ma, Xin Peng:
Demystifying Dependency Bugs in Deep Learning Stack. ESEC/SIGSOFT FSE 2023: 450-462 - [c133]Chong Wang, Yiling Lou, Xin Peng, Jianan Liu, Baihan Zou:
Mining Resource-Operation Knowledge to Support Resource Leak Detection. ESEC/SIGSOFT FSE 2023: 986-998 - [c132]Xueying Du, Yiling Lou, Mingwei Liu, Xin Peng, Tianyong Yang:
KG4CraSolver: Recommending Crash Solutions via Knowledge Graph. ESEC/SIGSOFT FSE 2023: 1242-1254 - [c131]Mingwei Liu, Yanjun Yang, Yiling Lou, Xin Peng, Zhong Zhou, Xueying Du, Tianyong Yang:
Recommending Analogical APIs via Knowledge Graph Embedding. ESEC/SIGSOFT FSE 2023: 1496-1508 - [c130]Fengyi Zhang, Bihuan Chen, Yufei Zhao, Xin Peng:
Slice-Based Code Change Representation Learning. SANER 2023: 319-330 - [c129]Jiaxing Liu, Chaofeng Sha, Xin Peng:
Improving Fine-tuning Pre-trained Models on Small Source Code Datasets via Variational Information Bottleneck. SANER 2023: 331-342 - [c128]Bingkun Sun, Liwei Shen, Xin Peng, Ziming Wang:
SCTAP: Supporting Scenario-Centric Trigger-Action Programming based on Software-Defined Physical Environments. WWW 2023: 2916-2926 - [i28]Junming Cao, Bihuan Chen, Longjie Hu, Jie Gao, Kaifeng Huang, Xin Peng:
Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems. CoRR abs/2301.03837 (2023) - [i27]Qing Huang, Zishuai Li, Zhenchang Xing, Zhengkang Zuo, Xin Peng, Xiwei Xu, Qinghua Lu:
Answering Uncertain, Under-Specified API Queries Assisted by Knowledge-Aware Human-AI Dialogue. CoRR abs/2304.14163 (2023) - [i26]Zhiqiang Yuan, Yiling Lou, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng:
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation. CoRR abs/2305.04207 (2023) - [i25]Yixuan Yan, Kaifeng Huang, Bihuan Chen, Zixin Tao, Xin Peng:
Scalable Demand-Driven Call Graph Generation for Python. CoRR abs/2305.05949 (2023) - [i24]Zhiqiang Yuan, Junwei Liu, Qiancheng Zi, Mingwei Liu, Xin Peng, Yiling Lou:
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation. CoRR abs/2308.01240 (2023) - [i23]Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou:
ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation. CoRR abs/2308.01861 (2023) - [i22]Mingwei Liu, Yanjun Yang, Yiling Lou, Xin Peng, Zhong Zhou, Xueying Du, Tianyong Yang:
Recommending Analogical APIs via Knowledge Graph Embedding. CoRR abs/2308.11422 (2023) - [i21]Junan Zhang, Kaifeng Huang, Bihuan Chen, Chong Wang, Zhenhao Tian, Xin Peng:
Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence. CoRR abs/2309.02637 (2023) - [i20]Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng:
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. CoRR abs/2309.08221 (2023) - [i19]Kaifeng Huang, Yingfeng Xia, Bihuan Chen, Zhuotong Zhou, Jin Guo, Xin Peng:
Detecting and Fixing Violations of Modification Terms in Open Source Licenses during Forking. CoRR abs/2310.07991 (2023) - [i18]Chong Wang, Jianan Liu, Xin Peng, Yang Liu, Yiling Lou:
Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference. CoRR abs/2311.04448 (2023) - [i17]Bingkun Sun, Liwei Shen, Jialin Ren, Zhen Dong, Siao Wang, Xin Peng:
EnvGuard: Guaranteeing Environment-Centric Safety and Security Properties in Web of Things. CoRR abs/2312.03373 (2023) - [i16]Tianyi Chen, Qidi Wang, Zhen Dong, Liwei Shen, Xin Peng:
Enhancing Robot Program Synthesis Through Environmental Context. CoRR abs/2312.08250 (2023) - [i15]Xueying Du, Mingwei Liu, Juntao Li, Hanlin Wang, Xin Peng, Yiling Lou:
Resolving Crash Bugs via Large Language Models: An Empirical Study. CoRR abs/2312.10448 (2023) - 2022
- [j48]Chi Chen, Xin Peng, Bihuan Chen, Jun Sun, Zhenchang Xing, Xin Wang, Wenyun Zhao:
"More Than Deep Learning": post-processing for API sequence recommendation. Empir. Softw. Eng. 27(1): 15 (2022) - [j47]Bowen Li, Xin Peng, Qilin Xiang, Hanzhang Wang, Tao Xie, Jun Sun, Xuanzhe Liu:
Enjoy your observability: an industrial survey of microservice tracing and analysis. Empir. Softw. Eng. 27(1): 25 (2022) - [j46]Kaifeng Huang, Bihuan Chen, Congying Xu, Ying Wang, Bowen Shi, Xin Peng, Yijian Wu, Yang Liu:
Characterizing usages, updates and risks of third-party libraries in Java projects. Empir. Softw. Eng. 27(4): 90 (2022) - [j45]Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Wenhai Li, Dan Ding:
Delta Debugging Microservice Systems with Parallel Optimization. IEEE Trans. Serv. Comput. 15(1): 16-29 (2022) - [j44]Chi Chen, Xin Peng, Zhenchang Xing, Jun Sun, Xin Wang, Yifan Zhao, Wenyun Zhao:
Holistic Combination of Structural and Textual Code Information for Context Based API Recommendation. IEEE Trans. Software Eng. 48(8): 2987-3009 (2022) - [j43]Mingwei Liu, Xin Peng, Andrian Marcus, Shuangshuang Xing, Christoph Treude, Chengyuan Zhao:
API-Related Developer Information Needs in Stack Overflow. IEEE Trans. Software Eng. 48(11): 4485-4500 (2022) - [c127]Chen Zhang, Bihuan Chen, Xin Peng, Wenyun Zhao:
Buildsheriff: Change-Aware Test Failure Triage for Continuous Integration Builds. ICSE 2022: 312-324 - [c126]Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, Dongmei Zhang:
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning. ICSE 2022: 623-634 - [c125]Chengwei Liu, Sen Chen, Lingling Fan, Bihuan Chen, Yang Liu, Xin Peng:
Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem. ICSE 2022: 672-684 - [c124]Ke Zhang, Chenxi Zhang, Xin Peng, Chaofeng Sha:
PUTraceAD: Trace Anomaly Detection with Partial Labels based on GNN and PU Learning. ISSRE 2022: 239-250 - [c123]Xuezhi Song, Yun Lin, Siang Hwee Ng, Yijian Wu, Xin Peng, Jin Song Dong, Hong Mei:
RegMiner: towards constructing a large regression dataset from code evolution history. ISSTA 2022: 314-326 - [c122]Wunan Guo, Zhen Dong, Liwei Shen, Wei Tian, Ting Su, Xin Peng:
Detecting and fixing data loss issues in Android apps. ISSTA 2022: 605-616 - [c121]Wunan Guo, Zhen Dong, Liwei Shen, Wei Tian, Ting Su, Xin Peng:
iFixDataloss: a tool for detecting and fixing data loss issues in Android apps. ISSTA 2022: 785-788 - [c120]Bin Hu, Yijian Wu, Xin Peng, Chaofeng Sha, Xiaochen Wang, Baiqiang Fu, Wenyun Zhao:
Predicting change propagation between code clone instances by graph-based deep learning. ICPC 2022: 425-436 - [c119]Chen Zhang, Bihuan Chen, Junhao Hu, Xin Peng, Wenyun Zhao:
BuildSonic: Detecting and Repairing Performance-Related Configuration Smells for Continuous Integration Builds. ASE 2022: 18:1-18:13 - [c118]Mingwei Liu, Xin Peng, Andrian Marcus, Christoph Treude, Jiazhan Xie, Huanjun Xu, Yanjun Yang:
How to formulate specific how-to questions in software development? ESEC/SIGSOFT FSE 2022: 306-318 - [c117]Junming Cao, Bihuan Chen, Chao Sun, Longjie Hu, Shuaihong Wu, Xin Peng:
Understanding performance problems in deep learning systems. ESEC/SIGSOFT FSE 2022: 357-369 - [c116]Congying Xu, Bihuan Chen, Chenhao Lu, Kaifeng Huang, Xin Peng, Yang Liu:
Tracking patches for open source software vulnerabilities. ESEC/SIGSOFT FSE 2022: 860-871 - [c115]Chenxi Zhang, Xin Peng, Tong Zhou, Chaofeng Sha, Zhenghui Yan, Yiru Chen, Hong Yang:
TraceCRL: contrastive representation learning for microservice trace analysis. ESEC/SIGSOFT FSE 2022: 1221-1232 - [c114]Xin Peng, Chenxi Zhang, Zhongyuan Zhao, Akasaka Isami, Xiaofeng Guo, Yunna Cui:
Trace analysis based microservice architecture measurement. ESEC/SIGSOFT FSE 2022: 1589-1599 - [c113]Xuezhi Song, Yun Lin, Yijian Wu, Yifan Zhang, Siang Hwee Ng, Xin Peng, Jin Song Dong, Hong Mei:
RegMiner: mining replicable regression dataset from code repositories. ESEC/SIGSOFT FSE 2022: 1711-1715 - [c112]Rongfan Li, Bihuan Chen, Fengyi Zhang, Chao Sun, Xin Peng:
Detecting Runtime Exceptions by Deep Code Representation Learning with Attention-Based Graph Neural Networks. SANER 2022: 373-384 - [c111]Yi Liu, Yadong Yan, Chaofeng Sha, Xin Peng, Bihuan Chen, Chong Wang:
DeepAnna: Deep Learning based Java Annotation Recommendation and Misuse Detection. SANER 2022: 685-696 - [i14]Chengwei Liu, Sen Chen, Lingling Fan, Bihuan Chen, Yang Liu, Xin Peng:
Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem. CoRR abs/2201.03981 (2022) - [i13]Kaifeng Huang, Bihuan Chen, Susheng Wu, Junmin Cao, Lei Ma, Xin Peng:
Demystifying Dependency Bugs in Deep Learning Stack. CoRR abs/2207.10347 (2022) - [i12]Wunan Guo, Zhen Dong, Liwei Shen, Wei Tian, Ting Su, Xin Peng:
Detecting and Fixing Data Loss Issues in Android Apps. CoRR abs/2209.08719 (2022) - 2021
- [j42]Wenjian Liu, Bihuan Chen, Xin Peng, Qinghao Sun, Wenyun Zhao:
Identifying change patterns of API misuses from code changes. Sci. China Inf. Sci. 64(3) (2021) - [j41]Apostolos Ampatzoglou, Xin Peng:
Special Issue on Software and Systems Reuse in the Big Data Era. J. Syst. Softw. 176: 110921 (2021) - [j40]Fengyi Zhang, Bihuan Chen, Rongfan Li, Xin Peng:
A hybrid code representation learning approach for predicting method names. J. Syst. Softw. 180: 111011 (2021) - [j39]Zhenpeng Chen, Yanbin Cao, Huihan Yao, Xuan Lu, Xin Peng, Hong Mei, Xuanzhe Liu:
Emoji-powered Sentiment and Emotion Detection from Software Developers' Communication Data. ACM Trans. Softw. Eng. Methodol. 30(2): 18:1-18:48 (2021) - [j38]Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Wenhai Li, Dan Ding:
Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study. IEEE Trans. Software Eng. 47(2): 243-260 (2021) - [c110]Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, Zheshun Wu:
MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems. ICSE (SEIP) 2021: 338-347 - [c109]Jiamou Sun, Zhenchang Xing, Xin Peng, Xiwei Xu, Liming Zhu:
Task-Oriented API Usage Examples Prompting Powered By Programming Task Knowledge Graph. ICSME 2021: 448-459 - [c108]Kaihua Fu, Wei Zhang, Quan Chen, Deze Zeng, Xin Peng, Wenli Zheng, Minyi Guo:
QoS-Aware and Resource Efficient Microservice Deployment in Cloud-Edge Continuum. IPDPS 2021: 932-941 - [c107]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 - [c106]Kaifeng Huang, Bihuan Chen, Linghao Pan, Shuai Wu, Xin Peng:
REPFINDER: Finding Replacements for Missing APIs in Library Update. ASE 2021: 266-278 - [c105]Mingwei Liu, Xin Peng, Andrian Marcus, Christoph Treude, Xuefang Bai, Gang Lyu, Jiazhan Xie, Xiaoxin Zhang:
Learning-based extraction of first-order logic representations of API directives. ESEC/SIGSOFT FSE 2021: 491-502 - [c104]Bin Hu, Yijian Wu, Xin Peng, Jun Sun, Nanjie Zhan, Jun Wu:
Assessing Code Clone Harmfulness: Indicators, Factors, and Counter Measures. SANER 2021: 225-236 - [i11]Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, Zheshun Wu:
MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems. CoRR abs/2103.01782 (2021) - [i10]Qilin Xiang, Xin Peng, Chuan He, Hanzhang Wang, Tao Xie, Dewei Liu, Gang Zhang, Yuanfang Cai:
No Free Lunch: Microservice Practices Reconsidered in Industry. CoRR abs/2106.07321 (2021) - [i9]Xin Wang, Xin Peng, Jun Sun, Yifan Zhao, Chi Chen, Jinkai Fan:
A Topic Guided Pointer-Generator Model for Generating Natural Language Code Summaries. CoRR abs/2107.01642 (2021) - [i8]Xuezhi Song, Yun Lin, Siang Hwee Ng, Ping Yu, Xin Peng, Jin Song Dong:
Constructing Regression Dataset from Code Evolution History. CoRR abs/2109.12389 (2021) - [i7]Junming Cao, Bihuan Chen, Chao Sun, Longjie Hu, Xin Peng:
Characterizing Performance Bugs in Deep Learning Systems. CoRR abs/2112.01771 (2021) - [i6]