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2020 – today
- 2024
[j113]Di Wu
, Yang Feng, Hongyu Zhang, Baowen Xu:
Automatic recognizing relevant fragments of APIs using API references. Autom. Softw. Eng. 31(1): 3 (2024)- [j112]Yi Song, Xiaoyuan Xie, Baowen Xu:
When debugging encounters artificial intelligence: state of the art and open challenges. Sci. China Inf. Sci. 67(4) (2024) - [j111]Yilin Yang, Ziyuan Wang, Zhenyu Chen, Baowen Xu:
COPS: An improved information retrieval-based bug localization technique using context-aware program simplification. J. Syst. Softw. 207: 111868 (2024) - [j110]Baowen Xu, Xuelei Wang, Jingwei Li, Chengbao Liu:
Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting. Mach. Learn. 113(6): 3399-3417 (2024) - [j109]Linghan Meng, Yanhui Li, Lin Chen, Mingliang Ma, Yuming Zhou, Baowen Xu:
Hybrid mutation driven testing for natural language inference. J. Softw. Evol. Process. 36(10) (2024) - [j108]Qiang Zhang, Lei Xu, Baowen Xu:
Python meets JIT compilers: A simple implementation and a comparative evaluation. Softw. Pract. Exp. 54(2): 225-256 (2024) - [j107]Xinmeng Xia, Yang Feng, Qingkai Shi, James A. Jones, Xiangyu Zhang, Baowen Xu:
Enumerating Valid Non-Alpha-Equivalent Programs for Interpreter Testing. ACM Trans. Softw. Eng. Methodol. 33(5): 118:1-118:31 (2024) - [j106]Yimeng Guo, Zhifei Chen, Lin Chen, Wenjie Xu, Yanhui Li, Yuming Zhou, Baowen Xu:
Generating Python Type Annotations from Type Inference: How Far Are We? ACM Trans. Softw. Eng. Methodol. 33(5): 123:1-123:38 (2024) - [c258]Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu:
MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems. ICSE 2024: 139:1-139:13 - [c257]Shuo Li, Baowen Xu, Xuelei Wang:
Hierarchical Dynamic Graph Convolutional Network for Spatio-Temporal Forecasting. IJCNN 2024: 1-8 - [c256]Zixi Liu, Yang Feng, Jiali Xu, Baowen Xu:
ObjTest: Object-Level Mutation for Testing Object Detection Systems. Internetware 2024 - [c255]Xizhe Yin, Yang Feng, Qingkai Shi, Zixi Liu, Hongwang Liu, Baowen Xu:
FRIES: Fuzzing Rust Library Interactions via Efficient Ecosystem-Guided Target Generation. ISSTA 2024: 1137-1148 - [c254]Yichi Zhang, Zixi Liu, Yang Feng, Baowen Xu:
Leveraging Large Language Model to Assist Detecting Rust Code Comment Inconsistency. ASE 2024: 356-366 - [c253]Chengquan Zhang, Yang Feng, Yaokun Zhang, Yuxuan Dai, Baowen Xu:
Beyond Memory Safety: an Empirical Study on Bugs and Fixes of Rust Programs. QRS 2024: 272-283 - [i15]Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu:
MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems. CoRR abs/2401.14314 (2024) - [i14]Yunbo Ni, Yang Feng, Zixi Liu, Runtao Chen, Baowen Xu:
Towards Fixing Panic Bugs for Real-world Rust Programs. CoRR abs/2408.03262 (2024) - [i13]Weisong Sun, Yuchen Chen, Chunrong Fang, Yebo Feng, Yuan Xiao, An Guo, Quanjun Zhang, Yang Liu, Baowen Xu, Zhenyu Chen:
Eliminating Backdoors in Neural Code Models via Trigger Inversion. CoRR abs/2408.04683 (2024) - [i12]Yuchen Chen, Weisong Sun, Chunrong Fang, Zhenpeng Chen, Yifei Ge, Tingxu Han, Quanjun Zhang, Yang Liu, Zhenyu Chen, Baowen Xu:
Security of Language Models for Code: A Systematic Literature Review. CoRR abs/2410.15631 (2024) - 2023
- [j105]Yuying Li, Yang Feng, Chao Guo, Zhenyu Chen, Baowen Xu:
Crowdsourced test case generation for android applications via static program analysis. Autom. Softw. Eng. 30(2): 26 (2023) - [j104]Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Yuming Zhou, Baowen Xu:
Leveraging Stack Overflow to detect relevant tutorial fragments of APIs. Empir. Softw. Eng. 28(1): 12 (2023) - [j103]Di Liu, Yang Feng, Yanyan Yan, Baowen Xu:
Towards understanding bugs in Python interpreters. Empir. Softw. Eng. 28(1): 19 (2023) - [j102]Qiang Zhang, Lei Xu, Baowen Xu:
RegCPython: A Register-based Python Interpreter for Better Performance. ACM Trans. Archit. Code Optim. 20(1): 14:1-14:25 (2023) - [j101]Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Yang Feng, Haowen Chen, Yuming Zhou, Baowen Xu:
Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries. ACM Trans. Softw. Eng. Methodol. 32(5): 109:1-109:36 (2023) - [j100]Shiran Liu, Zhaoqiang Guo, Yanhui Li, Chuanqi Wang, Lin Chen, Zhongbin Sun, Yuming Zhou, Baowen Xu:
Inconsistent Defect Labels: Essence, Causes, and Influence. IEEE Trans. Software Eng. 49(2): 586-610 (2023) - [c252]Baowen Xu, Bei Chu, Hongcheng Fan, Yang Feng:
An Analysis of the Rust Programming Practice for Memory Safety Assurance. WISA 2023: 440-451 - [c251]Baowen Xu, Xuelei Wang, Zhenjie Liu, Liwen Kang:
A GAN combined with Graph Contrastive Learning for Traffic Forecasting. CNIOT 2023: 866-873 - [c250]Baowen Xu, Xuelei Wang, Shuo Li, Jingwei Li, Chengbao Liu:
Social-CVAE: Pedestrian Trajectory Prediction Using Conditional Variational Auto-Encoder. ICONIP (8) 2023: 476-489 - [c249]Yanyan Yan, Yang Feng, Hongcheng Fan, Baowen Xu:
DLInfer: Deep Learning with Static Slicing for Python Type Inference. ICSE 2023: 2009-2021 - [c248]Baowen Xu, Xuelei Wang, Chengbao Liu, Zhenjie Liu, Liwen Kang:
Dual-channel spatio-temporal wavelet transform graph neural network for traffic forecasting. IJCNN 2023: 1-8 - [c247]Baowen Xu, Xuelei Wang, Chengbao Liu, Shuo Li, Jingwei Li:
Spatio-Temporal Transformer with Clustering and Dilated Attention for Traffic Prediction. ITSC 2023: 1065-1071 - [c246]Wenjie Xu, Lin Chen, Chenghao Su, Yimeng Guo, Yanhui Li, Yuming Zhou, Baowen Xu:
How Well Static Type Checkers Work with Gradual Typing? A Case Study on Python. ICPC 2023: 242-253 - [c245]Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu:
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities. ESEC/SIGSOFT FSE 2023: 871-882 - [c244]Baowen Xu, Xuelei Wang, Chengbao Liu, Shuo Li:
Fourier U-Shaped Network for Multi-Variate Time Series Forecasting. SSCI 2023: 723-729 - [c243]Xincheng He, Xiaojin Liu, Lei Xu, Baowen Xu:
How Dynamic Features Affect API Usages? An Empirical Study of API Misuses in Python Programs. SANER 2023: 522-533 - [d1]Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu:
Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities. Zenodo, 2023
- [i11]Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu:
Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities. CoRR abs/2306.03454 (2023) - 2022
- [j99]Yilin Yang, Tianxing He, Yang Feng, Shaoying Liu, Baowen Xu:
Mining Python fix patterns via analyzing fine-grained source code changes. Empir. Softw. Eng. 27(2): 48 (2022) - [j98]Xinmeng Xia, Yanyan Yan, Xincheng He, Di Wu, Lei Xu, Baowen Xu:
An Empirical Study on the Impact of Python Dynamic Typing on the Project Maintenance. Int. J. Softw. Eng. Knowl. Eng. 32(5): 745-768 (2022) - [j97]Haowen Chen, Xiao-Yuan Jing, Yuming Zhou, Bing Li, Baowen Xu:
Aligned metric representation based balanced multiset ensemble learning for heterogeneous defect prediction. Inf. Softw. Technol. 147: 106892 (2022) - [j96]Yanhui Li, Weijun Shen, Tengchao Wu, Lin Chen, Di Wu, Yuming Zhou, Baowen Xu:
How higher order mutant testing performs for deep learning models: A fine-grained evaluation of test effectiveness and efficiency improved from second-order mutant-classification tuples. Inf. Softw. Technol. 150: 106954 (2022) - [j95]Yuying Li, Yang Feng, Rui Hao, Di Liu, Chunrong Fang, Zhenyu Chen, Baowen Xu:
Classifying crowdsourced mobile test reports with image features: An empirical study. J. Syst. Softw. 184: 111121 (2022) - [j94]Qiang Zhang, Lei Xu, Xiangyu Zhang, Baowen Xu:
Quantifying the interpretation overhead of Python. Sci. Comput. Program. 215: 102759 (2022) - [j93]Xiaoyuan Xie, Yuhui Su, Songqiang Chen, Lin Chen, Jifeng Xuan, Baowen Xu:
MULA: A Just-In-Time Multi-labeling System for Issue Reports. IEEE Trans. Reliab. 71(1): 250-263 (2022) - [j92]Peng Zhang, Yanhui Li, Wanwangying Ma, Yibiao Yang, Lin Chen, Hongmin Lu, Yuming Zhou, Baowen Xu:
CBUA: A Probabilistic, Predictive, and Practical Approach for Evaluating Test Suite Effectiveness. IEEE Trans. Software Eng. 48(3): 1067-1096 (2022) - [c242]Xinyu Gao, Yang Feng, Yining Yin, Zixi Liu, Zhenyu Chen, Baowen Xu:
Adaptive Test Selection for Deep Neural Networks. ICSE 2022: 73-85 - [c241]Yanhui Li, Linghan Meng, Lin Chen, Li Yu, Di Wu, Yuming Zhou, Baowen Xu:
Training Data Debugging for the Fairness of Machine Learning Software. ICSE 2022: 2215-2227 - [c240]Zixi Liu, Yang Feng, Yining Yin, Jingyu Sun, Zhenyu Chen, Baowen Xu:
QATest: A Uniform Fuzzing Framework for Question Answering Systems. ASE 2022: 81:1-81:12 - [c239]Yilin Yang, Ziyuan Wang, Zhenyu Chen, Baowen Xu:
Context-Aware Program Simplification to Improve Information Retrieval-Based Bug Localization. QRS 2022: 252-263 - [i10]Wahidur Rahman, Yisen Xu, Fan Pu, Jifeng Xuan, Xiangyang Jia, Michail Basios, Leslie Kanthan, Lingbo Li, Fan Wu, Baowen Xu:
Clone Detection on Large Scala Codebases. CoRR abs/2204.04247 (2022) - 2021
- [b1]Xiaoyuan Xie, Baowen Xu:
Essential Spectrum-based Fault Localization. Springer 2021, ISBN 978-981-33-6178-2, pp. 1-172 - [j91]Peng Wang, Baowen Xu:
Matching weak informative ontologies. Sci. China Inf. Sci. 64(12) (2021) - [j90]Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Bing Li, Yu Xie, Baowen Xu:
Generating API tags for tutorial fragments from Stack Overflow. Empir. Softw. Eng. 26(4): 66 (2021) - [j89]Weijun Shen, Yanhui Li, Yuanlei Han, Lin Chen, Di Wu, Yuming Zhou, Baowen Xu:
Boundary sampling to boost mutation testing for deep learning models. Inf. Softw. Technol. 130: 106413 (2021) - [j88]Shiran Liu, Zhaoqiang Guo, Yanhui Li, Hongmin Lu, Lin Chen, Lei Xu, Yuming Zhou, Baowen Xu:
Prioritizing code documentation effort: Can we do it simpler but better? Inf. Softw. Technol. 140: 106686 (2021) - [j87]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) - [c238]Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu:
PyART: Python API Recommendation in Real-Time. ICSE (Companion Volume) 2021: 246-247 - [c237]Linghan Meng, Yanhui Li, Lin Chen, Zhi Wang, Di Wu, Yuming Zhou, Baowen Xu:
Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models. ICSE 2021: 385-396 - [c236]Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu:
PyART: Python API Recommendation in Real-Time. ICSE 2021: 1634-1645 - [c235]Pin Ji, Yang Feng, Jia Liu, Zhihong Zhao, Baowen Xu:
Automated Testing for Machine Translation via Constituency Invariance. ASE 2021: 468-479 - [c234]Haowen Chen, Xiao-Yuan Jing, Baowen Xu:
Heterogeneous Defect Prediction through Joint Metric Selection and Matching. QRS 2021: 367-377 - [c233]Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Yuming Zhou, Baowen Xu:
Leveraging Stack Overflow to Detect Relevant Tutorial Fragments of APIs. SANER 2021: 119-130 - [i9]Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu:
PyART: Python API Recommendation in Real-Time. CoRR abs/2102.04706 (2021) - [i8]Linghan Meng, Yanhui Li, Lin Chen, Zhi Wang, Di Wu, Yuming Zhou, Baowen Xu:
Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models. CoRR abs/2103.04333 (2021) - 2020
- [j86]Zhaoqiang Guo, Yanhui Li, Wanwangying Ma, Yuming Zhou, Hongmin Lu, Lin Chen, Baowen Xu:
Boosting crash-inducing change localization with rank-performance-based feature subset selection. Empir. Softw. Eng. 25(3): 1905-1950 (2020) - [j85]Chuanqi Wang, Yanhui Li, Lin Chen, Wen-Chin Huang, Yuming Zhou, Baowen Xu:
Examining the effects of developer familiarity on bug fixing. J. Syst. Softw. 169: 110667 (2020) - [j84]Lin Chen, Di Wu, Wanwangying Ma, Yuming Zhou, Baowen Xu, Hareton Leung:
How C++ Templates Are Used for Generic Programming: An Empirical Study on 50 Open Source Systems. ACM Trans. Softw. Eng. Methodol. 29(1): 3:1-3:49 (2020) - [j83]Xiaoyuan Xie, Zhiyi Zhang, Tsong Yueh Chen, Yang Liu, Pak-Lok Poon, Baowen Xu:
METTLE: A METamorphic Testing Approach to Assessing and Validating Unsupervised Machine Learning Systems. IEEE Trans. Reliab. 69(4): 1293-1322 (2020) - [j82]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) - [c232]Wanwangying Ma, Lin Chen, Xiangyu Zhang, Yang Feng, Zhaogui Xu, Zhifei Chen, Yuming Zhou, Baowen Xu:
Impact analysis of cross-project bugs on software ecosystems. ICSE 2020: 100-111 - [c231]Zhifei Chen, Yanhui Li, Bihuan Chen, Wanwangying Ma, Lin Chen, Baowen Xu:
An Empirical Study on Dynamic Typing Related Practices in Python Systems. ICPC 2020: 83-93 - [c230]Wahidur Rahman, Yisen Xu, Fan Pu, Jifeng Xuan, Xiangyang Jia, Michail Basios, Leslie Kanthan, Lingbo Li, Fan Wu, Baowen Xu:
Clone Detection on Large Scala Codebases. IWSC 2020: 38-44 - [c229]Songqiang Chen, Xiaoyuan Xie, Bangguo Yin, Yuanxiang Ji, Lin Chen, Baowen Xu:
Stay Professional and Efficient: Automatically Generate Titles for Your Bug Reports. ASE 2020: 385-397 - [c228]Weijun Shen, Yanhui Li, Lin Chen, Yuanlei Han, Yuming Zhou, Baowen Xu:
Multiple-Boundary Clustering and Prioritization to Promote Neural Network Retraining. ASE 2020: 410-422 - [i7]Shiran Liu, Zhaoqiang Guo, Yanhui Li, Hongmin Lu, Lin Chen, Lei Xu, Yuming Zhou, Baowen Xu:
Prioritizing documentation effort: Can we do better? CoRR abs/2006.10892 (2020) - [i6]Yuxi Huan, Fan Wu, Michail Basios, Leslie Kanthan, Lingbo Li, Baowen Xu:
IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning. CoRR abs/2009.06390 (2020)
2010 – 2019
- 2019
- [j81]Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu, Hongyu Zhang, Baowen Xu, Shi Ying:
Heterogeneous defect prediction with two-stage ensemble learning. Autom. Softw. Eng. 26(3): 599-651 (2019) - [j80]Gongzheng Lu, Lei Xu, Yibiao Yang, Baowen Xu:
Predictive analysis for race detection in software-defined networks. Sci. China Inf. Sci. 62(6): 62101:1-62101:20 (2019) - [j79]Weiqin Zou, Jifeng Xuan, Xiaoyuan Xie, Zhenyu Chen, Baowen Xu:
How does code style inconsistency affect pull request integration? An exploratory study on 117 GitHub projects. Empir. Softw. Eng. 24(6): 3871-3903 (2019) - [j78]Jingxuan Tu, Xiaoyuan Xie, Tsong Yueh Chen, Baowen Xu:
On the analysis of spectrum based fault localization using hitting sets. J. Syst. Softw. 147: 106-123 (2019) - [j77]Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu, Hongyu Zhang, Baowen Xu, Shi Ying:
On the Multiple Sources and Privacy Preservation Issues for Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 45(4): 391-411 (2019) - [c227]Yibiao Yang, Yuming Zhou, Hao Sun, Zhendong Su, Zhiqiang Zuo, Lei Xu, Baowen Xu:
Hunting for bugs in code coverage tools via randomized differential testing. ICSE 2019: 488-498 - [c226]Yibiao Yang, Yanyan Jiang, Zhiqiang Zuo, Yang Wang, Hao Sun, Hongmin Lu, Yuming Zhou, Baowen Xu:
Automatic Self-Validation for Code Coverage Profilers. ASE 2019: 79-90 - [i5]Zhaoqiang Guo, Shiran Liu, Jinping Liu, Yanhui Li, Lin Chen, Hongmin Lu, Yuming Zhou, Baowen Xu:
MAT: A simple yet strong baseline for identifying self-admitted technical debt. CoRR abs/1910.13238 (2019) - 2018
- [j76]Zhiqiang Li, Xiao-Yuan Jing, Fei Wu, Xiaoke Zhu, Baowen Xu, Shi Ying:
Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction. Autom. Softw. Eng. 25(2): 201-245 (2018) - [j75]Zhifei Chen, Wanwangying Ma, Wei Lin, Lin Chen, Yanhui Li, Baowen Xu:
A study on the changes of dynamic feature code when fixing bugs: towards the benefits and costs of Python dynamic features. Sci. China Inf. Sci. 61(1): 012107:1-012107:18 (2018) - [j74]Hao Wang, Xiaofang Zhang, Bin Liang, Qian Zhou, Baowen Xu:
Gated Hierarchical LSTMs for Target-Based Sentiment Analysis. Int. J. Softw. Eng. Knowl. Eng. 28(11-12): 1719-1737 (2018) - [j73]Zhifei Chen, Lin Chen, Wanwangying Ma, Xiaoyu Zhou, Yuming Zhou, Baowen Xu:
Understanding metric-based detectable smells in Python software: A comparative study. Inf. Softw. Technol. 94: 14-29 (2018) - [j72]Yuming Zhou, Yibiao Yang, Hongmin Lu, Lin Chen, Yanhui Li, Yangyang Zhao, Junyan Qian, Baowen Xu:
How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction. ACM Trans. Softw. Eng. Methodol. 27(1): 1:1-1:51 (2018) - [c225]Hui Ding, Wanwangying Ma, Lin Chen, Yuming Zhou, Baowen Xu:
Predicting the Breakability of Blocking Bug Pairs. COMPSAC (1) 2018: 219-228 - [c224]Zhifei Chen, Bihuan Chen, Lu Xiao, Xiao Wang, Lin Chen, Yang Liu, Baowen Xu:
Speedoo: prioritizing performance optimization opportunities. ICSE 2018: 811-821 - [c223]Zhaogui Xu, Shiqing Ma, Xiangyu Zhang, Shuofei Zhu, Baowen Xu:
Debugging with intelligence via probabilistic inference. ICSE 2018: 1171-1181 - [c222]Xinmeng Xia, Xincheng He, Yanyan Yan, Lei Xu, Baowen Xu:
An Empirical Study of Dynamic Types for Python Projects. SATE 2018: 85-100 - [c221]Chuanqi Wang, Yanhui Li, Baowen Xu:
How Many Versions does a Bug Live in? An Empirical Study on Text Features for Bug Lifecycle Prediction. SEKE 2018: 415-414 - [c220]Xiaofang Zhang, Bin Liang, Qian Zhou, Hao Wang, Baowen Xu:
A Gated Hierarchical LSTMs for Target-based Sentiment Analysis. SEKE 2018: 433-432 - [c219]Yibin Liu, Yanhui Li, Jianbo Guo, Yuming Zhou, Baowen Xu:
Connecting software metrics across versions to predict defects. SANER 2018: 232-243 - [i4]Zhiyi Zhang, Xiaoyuan Xie, Tsong Yueh Chen, Yang Liu, Baowen Xu:
A Validation and Quality Assessment Method with Metamorphic Relations for Unsupervised Machine Learning Software. CoRR abs/1807.10453 (2018) - 2017
- [j71]Yangyang Zhao, Yibiao Yang, Hongmin Lu, Jinping Liu, Hareton Leung, Yansong Wu, Yuming Zhou, Baowen Xu:
Understanding the value of considering client usage context in package cohesion for fault-proneness prediction. Autom. Softw. Eng. 24(2): 393-453 (2017) - [j70]Zhiyi Zhang, Zhenyu Chen, Ruizhi Gao, W. Eric Wong, Baowen Xu:
An empirical study on constraint optimization techniques for test generation. Sci. China Inf. Sci. 60(1): 12105 (2017) - [j69]Yangyang Zhao, Hareton Leung, Yibiao Yang, Yuming Zhou, Baowen Xu:
Towards an understanding of change types in bug fixing code. Inf. Softw. Technol. 86: 37-53 (2017) - [j68]Fumin Qi, Xiao-Yuan Jing, Xiaoke Zhu, Xiaoyuan Xie, Baowen Xu, Shi Ying:
Software effort estimation based on open source projects: Case study of Github. Inf. Softw. Technol. 92: 145-157 (2017) - [j67]Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Baowen Xu:
An Improved SDA Based Defect Prediction Framework for Both Within-Project and Cross-Project Class-Imbalance Problems. IEEE Trans. Software Eng. 43(4): 321-339 (2017) - [c218]Hui Ding, Wanwangying Ma, Lin Chen, Yuming Zhou, Baowen Xu:
An Empirical Study on Downstream Workarounds for Cross-Project Bugs. APSEC 2017: 318-327 - [c217]Jinping Liu, Yuming Zhou, Yibiao Yang, Hongmin Lu, Baowen Xu:
Code Churn: A Neglected Metric in Effort-Aware Just-in-Time Defect Prediction. ESEM 2017: 11-19 - [c216]Yi Bin, Kai Zhou, Hongmin Lu, Yuming Zhou, Baowen Xu:
Training Data Selection for Cross-Project Defection Prediction: Which Approach Is Better? ESEM 2017: 354-363 - [c215]Fei Wu, Xiao-Yuan Jing, Xiwei Dong, Jicheng Cao, Mingwei Xu, Hongyu Zhang, Shi Ying, Baowen Xu:
Cross-project and within-project semi-supervised software defect prediction problems study using a unified solution. ICSE (Companion Volume) 2017: 195-197 - [c214]Wanwangying Ma, Lin Chen, Xiangyu Zhang, Yuming Zhou, Baowen Xu:
How do developers fix cross-project correlated bugs?: a case study on the GitHub scientific python ecosystem. ICSE 2017: 381-392 - [c213]Xiaolin Ju, Xiang Chen, Yibiao Yang, Shujuan Jiang, Junyan Qian, Baowen Xu:
An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization. QRS Companion 2017: 304-310 - [c212]