Yibiao Yang(杨已彪)
Yibiao Yang(杨已彪)
Verified email at hust.edu.cn - Homepage
Title
Cited by
Cited by
Year
Effort-aware just-in-time defect prediction: simple unsupervised models could be better than supervised models
Y Yang, Y Zhou, J Liu, Y Zhao, H Lu, L Xu, B Xu, H Leung
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016
692016
How far we have progressed in the journey? an examination of cross-project defect prediction
Y Zhou, Y Yang, H Lu, L Chen, Y Li, Y Zhao, J Qian, B Xu
ACM Transactions on Software Engineering and Methodology (TOSEM) 27 (1), 1-51, 2018
322018
Are Slice-Based Cohesion Metrics Actually Useful in Effort-Aware Post-Release Fault-Proneness Prediction? An Empirical Study
Y Yang, Y Zhou, H Lu, L Chen, Z Chen, B Xu, H Leung, Z Zhang
IEEE Transactions on Software Engineering 41 (4), 331-357, 2015
302015
Source code size estimation approaches for object-oriented systems from UML class diagrams: A comparative study
Y Zhou, Y Yang, B Xu, H Leung, X Zhou
Information and Software Technology 56 (2), 220-237, 2014
272014
Empirical analysis of network measures for effort-aware fault-proneness prediction
W Ma, L Chen, Y Yang, Y Zhou, B Xu
Information and Software Technology 69, 50-70, 2016
242016
An empirical analysis of package-modularization metrics: Implications for software fault-proneness
Y Zhao, Y Yang, H Lu, Y Zhou, Q Song, B Xu
Information and Software Technology 57, 186-203, 2015
152015
An empirical study on dependence clusters for effort-aware fault-proneness prediction
Y Yang, M Harman, J Krinke, S Islam, D Binkley, Y Zhou, B Xu
2016 31st IEEE/ACM International Conference on Automated Software …, 2016
142016
Predicting vulnerable components via text mining or software metrics? An effort-aware perspective
Y Tang, F Zhao, Y Yang, H Lu, Y Zhou, B Xu
2015 IEEE International Conference on Software Quality, Reliability and …, 2015
122015
Code churn: A neglected metric in effort-aware just-in-time defect prediction
J Liu, Y Zhou, Y Yang, H Lu, B Xu
2017 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2017
102017
Towards an understanding of change types in bug fixing code
Y Zhao, H Leung, Y Yang, Y Zhou, B Xu
Information and software technology 86, 37-53, 2017
102017
Understanding the value of considering client usage context in package cohesion for fault-proneness prediction
Y Zhao, Y Yang, H Lu, J Liu, H Leung, Y Wu, Y Zhou, B Xu
Automated software engineering 24 (2), 393-453, 2017
102017
The influence of developer quality on software fault-proneness prediction
Y Wu, Y Yang, Y Zhao, H Lu, Y Zhou, B Xu
2014 eighth international conference on software security and reliability …, 2014
102014
Is learning-to-rank cost-effective in recommending relevant files for bug localization?
F Zhao, Y Tang, Y Yang, H Lu, Y Zhou, B Xu
2015 IEEE International Conference on Software Quality, Reliability and …, 2015
42015
An empirical investigation into the effect of slice types on slice-based cohesion metrics
Y Yang, Y Zhao, C Liu, H Lu, Y Zhou, B Xu
Information and Software Technology 75, 90-104, 2016
32016
An ast-based approach to classifying defects
C Liu, Y Zhao, Y Yang, H Lu, Y Zhou, B Xu
2015 IEEE International Conference on Software Quality, Reliability and …, 2015
32015
Hunting for bugs in code coverage tools via randomized differential testing
Y Yang, Y Zhou, H Sun, Z Su, Z Zuo, L Xu, B Xu
Proceedings of the 41st International Conference on Software Engineering …, 2019
22019
Exploring the impact of code smells on fine-grained structural change-proneness
H Liu, B Li, Y Yang, W Ma, R Jia
International Journal of Software Engineering and Knowledge Engineering 28 …, 2018
22018
An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization
X Ju, X Chen, Y Yang, S Jiang, J Qian, B Xu
2017 IEEE International Conference on Software Quality, Reliability and …, 2017
12017
Predictive analysis for race detection in software-defined networks
G Lu, L Xu, Y Yang, B Xu
Science China Information Sciences 62 (6), 62101, 2019
2019
Predictive analysis for race detection in software-defined networks
G Lu, L Xu, Y Yang, B Xu
Science China Information Sciences 62 (6), 62101, 2019
2019
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Articles 1–20