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2020 – today
- 2023
[j103]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)- [j102]Di Liu, Yang Feng, Yanyan Yan, Baowen Xu:
Towards understanding bugs in Python interpreters. Empir. Softw. Eng. 28(1): 19 (2023) - [j101]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) - [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) - [c242]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 - 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) - [c241]Xinyu Gao, Yang Feng, Yining Yin, Zixi Liu, Zhenyu Chen, Baowen Xu:
Adaptive Test Selection for Deep Neural Networks. ICSE 2022: 73-85 - [c240]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 - [c239]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 - [c238]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) - [c237]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 - [c236]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 - [c235]Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu:
PyART: Python API Recommendation in Real-Time. ICSE 2021: 1634-1645 - [c234]Pin Ji, Yang Feng, Jia Liu, Zhihong Zhao, Baowen Xu:
Automated Testing for Machine Translation via Constituency Invariance. ASE 2021: 468-479 - [c233]Haowen Chen, Xiao-Yuan Jing, Baowen Xu:
Heterogeneous Defect Prediction through Joint Metric Selection and Matching. QRS 2021: 367-377 - [c232]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) - [c231]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 - [c230]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 - [c229]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 - [c228]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 - [c227]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) - [c226]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 - [c225]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) - [c224]Hui Ding, Wanwangying Ma, Lin Chen, Yuming Zhou, Baowen Xu:
Predicting the Breakability of Blocking Bug Pairs. COMPSAC (1) 2018: 219-228 - [c223]Zhifei Chen, Bihuan Chen, Lu Xiao, Xiao Wang, Lin Chen, Yang Liu, Baowen Xu:
Speedoo: prioritizing performance optimization opportunities. ICSE 2018: 811-821 - [c222]Zhaogui Xu, Shiqing Ma, Xiangyu Zhang, Shuofei Zhu, Baowen Xu:
Debugging with intelligence via probabilistic inference. ICSE 2018: 1171-1181 - [c221]Xinmeng Xia, Xincheng He, Yanyan Yan, Lei Xu, Baowen Xu:
An Empirical Study of Dynamic Types for Python Projects. SATE 2018: 85-100 - [c220]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 - [c219]Xiaofang Zhang, Bin Liang, Qian Zhou, Hao Wang, Baowen Xu:
A Gated Hierarchical LSTMs for Target-based Sentiment Analysis. SEKE 2018: 433-432 - [c218]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) - [c217]Hui Ding, Wanwangying Ma, Lin Chen, Yuming Zhou, Baowen Xu:
An Empirical Study on Downstream Workarounds for Cross-Project Bugs. APSEC 2017: 318-327 - [c216]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 - [c215]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 - [c214]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 - [c213]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 - [c212]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 - [c211]Chunrong Fang, Qingkai Shi, Yang Feng, Zicong Liu, Xiaofang Zhang, Baowen Xu:
Predicate Interpretation Analysis Based on Soot. SEKE 2017: 278-282 - [c210]Chunrong Fang, Yang Feng, Qingkai Shi, Zicong Liu, Shuying Li, Baowen Xu:
Fault Interference and Coupling Effect. SEKE 2017: 501-506 - [c209]Yiyang Feng, Wanwangying Ma, Yibiao Yang, Hongmin Lu, Yuming Zhou, Baowen Xu:
An empirical investigation into the cost-effectiveness of test effort allocation strategies for finding faults. SANER 2017: 371-381 - [i3]Yibin Liu, Yanhui Li, Jianbo Guo, Yuming Zhou, Baowen Xu:
Connecting Software Metrics across Versions to Predict Defects. CoRR abs/1712.09835 (2017) - 2016
- [j66]Lin Chen, Wanwangying Ma, Yuming Zhou, Lei Xu, Ziyuan Wang, Zhifei Chen, Baowen Xu:
Empirical analysis of network measures for predicting high severity software faults. Sci. China Inf. Sci. 59(12): 122901:1-122901:18 (2016) - [j65]Wanwangying Ma, Lin Chen, Yibiao Yang, Yuming Zhou, Baowen Xu:
Empirical analysis of network measures for effort-aware fault-proneness prediction. Inf. Softw. Technol. 69: 50-70 (2016) - [j64]Yibiao Yang, Yangyang Zhao, Changsong Liu, Hongmin Lu, Yuming Zhou, Baowen Xu:
An empirical investigation into the effect of slice types on slice-based cohesion metrics. Inf. Softw. Technol. 75: 90-104 (2016) - [j63]Di Wu, Lin Chen, Yuming Zhou, Baowen Xu:
An extensive empirical study on C++ concurrency constructs. Inf. Softw. Technol. 76: 1-18 (2016) - [j62]Qinbao Song, Xiaoyan Zhu, Guangtao Wang, Heli Sun, He Jiang, Chenhao Xue, Baowen Xu, Wei Song:
A machine learning based software process model recommendation method. J. Syst. Softw. 118: 85-100 (2016) - [j61]Qingkai Shi, Zhenyu Chen, Chunrong Fang, Yang Feng, Baowen Xu:
Measuring the Diversity of a Test Set With Distance Entropy. IEEE Trans. Reliab. 65(1): 19-27 (2016) - [j60]Qingkai Shi, Jeff Huang, Zhenyu Chen, Baowen Xu:
Verifying Synchronization for Atomicity Violation Fixing. IEEE Trans. Software Eng. 42(3): 285-301 (2016) - [c208]Jingxuan Tu, Xiaoyuan Xie, Baowen Xu:
Code Coverage-Based Failure Proximity without Test Oracles. COMPSAC 2016: 133-142 - [c207]Baowen Xu:
Message from the DSA Workshop Organizer. COMPSAC Workshops 2016: 473 - [c206]Xiao-Yuan Jing, Fumin Qi, Fei Wu, Baowen Xu:
Missing data imputation based on low-rank recovery and semi-supervised regression for software effort estimation. ICSE 2016: 607-618 - [c205]Xiaoyuan Xie, Zicong Liu, Shuo Song, Zhenyu Chen, Jifeng Xuan, Baowen Xu:
Revisit of automatic debugging via human focus-tracking analysis. ICSE 2016: 808-819 - [c204]Wei Lin, Zhifei Chen, Wanwangying Ma, Lin Chen, Lei Xu, Baowen Xu:
An Empirical Study on the Characteristics of Python Fine-Grained Source Code Change Types. ICSME 2016: 188-199 - [c203]Lei Xu, Quan Sun, Baowen Xu, Weifeng Zhang:
Statically Detect Data Races for WS-BPEL Web Services by Constraint Solver. ICWS 2016: 476-483 - [c202]Yibiao Yang, Mark Harman, Jens Krinke, Syed S. Islam, David W. Binkley, Yuming Zhou, Baowen Xu:
An empirical study on dependence clusters for effort-aware fault-proneness prediction. ASE 2016: 296-307 - [c201]Zhifei Chen, Lin Chen, Wanwangying Ma, Baowen Xu:
Detecting Code Smells in Python Programs. SATE 2016: 18-23 - [c200]Wanwangying Ma, Lin Chen, Yuming Zhou, Baowen Xu:
Do We Have a Chance to Fix Bugs When Refactoring Code Smells? SATE 2016: 24-29 - [c199]Dezhi Wang, Lei Xu, Baowen Xu, Weifeng Zhang:
Dynamically Detecting DOM-Related Atomicity Violations in JavaScript with Asynchronous Call. SATE 2016: 42-47 - [c198]Fei Wu, Xiao-Yuan Jing, Xiwei Dong, Jicheng Cao, Baowen Xu, Shi Ying:
Cost-Sensitive Local Collaborative Representation for Software Defect Prediction. SATE 2016: 102-107 - [c197]Zhaogui Xu, Peng Liu, Xiangyu Zhang, Baowen Xu:
Python predictive analysis for bug detection. SIGSOFT FSE 2016: 121-132 - [c196]Yibiao Yang, Yuming Zhou, Jinping Liu, Yangyang Zhao, Hongmin Lu, Lei Xu, Baowen Xu, Hareton Leung:
Effort-aware just-in-time defect prediction: simple unsupervised models could be better than supervised models. SIGSOFT FSE 2016: 157-168 - [c195]Zhaogui Xu, Xiangyu Zhang, Lin Chen, Kexin Pei, Baowen Xu:
Python probabilistic type inference with natural language support. SIGSOFT FSE 2016: 607-618 - [c194]Zhifei Chen, Wanwangying Ma, Wei Lin, Lin Chen, Baowen Xu:
Tracking Down Dynamic Feature Code Changes against Python Software Evolution. TSA 2016: 54-63 - [c193]Jingxuan Tu, Xiaoyuan Xie, Yuming Zhou, Baowen Xu, Lin Chen:
A Search Based Context-Aware Approach for Understanding and Localizing the Fault via Weighted Call Graph. TSA 2016: 64-72 - [c192]Wanwangying Ma, Lin Chen, Yuming Zhou, Baowen Xu:
What Are the Dominant Projects in the GitHub Python Ecosystem? TSA 2016: 87-95 - 2015
- [j59]Peng Wang, Baowen Xu, Yurong Wu, Xiaoyu Zhou:
Link prediction in social networks: the state-of-the-art. Sci. China Inf. Sci. 58(1): 1-38 (2015) - [j58]Debiao He, Mingwu Zhang, Baowen Xu:
Insecurity of an Efficient Identity-Based Proxy Signature in the Standard Model. Comput. J. 58(10): 2507-2508 (2015) - [j57]Rui Yang, Zhenyu Chen, Zhiyi Zhang, Baowen Xu:
EFSM-Based Test Case Generation: Sequence, Data, and Oracle. Int. J. Softw. Eng. Knowl. Eng. 25(4): 633-668 (2015) - [j56]Yangyang Zhao, Yibiao Yang, Hongmin Lu, Yuming Zhou, Qinbao Song, Baowen Xu:
An empirical analysis of package-modularization metrics: Implications for software fault-proneness. Inf. Softw. Technol. 57: 186-203 (2015) - [j55]Zhongbin Sun, Qinbao Song, Xiaoyan Zhu, Heli Sun, Baowen Xu, Yuming Zhou:
A novel ensemble method for classifying imbalanced data. Pattern Recognit. 48(5): 1623-1637 (2015) - [j54]