Yuming Zhou
Orcid: 0000-0002-4645-2526
According to our database1,
Yuming Zhou
authored at least 146 papers
between 1999 and 2024.
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Bibliography
2024
Deep learning or classical machine learning? An empirical study on line-level software defect prediction.
J. Softw. Evol. Process., October, 2024
J. Softw. Evol. Process., October, 2024
No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT.
IEEE Trans. Software Eng., June, 2024
ACM Trans. Softw. Eng. Methodol., June, 2024
Int. J. Softw. Eng. Knowl. Eng., June, 2024
ACM Trans. Softw. Eng. Methodol., May, 2024
Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation.
IEEE Trans. Software Eng., April, 2024
J. Softw. Evol. Process., April, 2024
J. Softw. Evol. Process., April, 2024
Why and how bug blocking relations are breakable: An empirical study on breakable blocking bugs.
Inf. Softw. Technol., February, 2024
ICG: A Machine Learning Benchmark Dataset and Baselines for Inline Code Comments Generation Task.
Int. J. Softw. Eng. Knowl. Eng., February, 2024
Corrections to "Uncovering Bugs in Code Coverage Profilers via Control Flow Constraint Solving".
IEEE Trans. Software Eng., January, 2024
Towards an understanding of intra-defect associations: Implications for defect prediction.
J. Syst. Softw., January, 2024
Sci. Comput. Program., 2024
CoRR, 2024
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
2023
Mitigating False Positive Static Analysis Warnings: Progress, Challenges, and Opportunities.
IEEE Trans. Software Eng., December, 2023
IEEE Trans. Software Eng., November, 2023
Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries.
ACM Trans. Softw. Eng. Methodol., September, 2023
Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go?
ACM Trans. Softw. Eng. Methodol., July, 2023
Towards the Analysis and Completion of Syntactic Structure Ellipsis for Inline Comments.
IEEE Trans. Software Eng., April, 2023
Towards Better Dependency Management: A First Look at Dependency Smells in Python Projects.
IEEE Trans. Software Eng., April, 2023
IEEE Trans. Software Eng., February, 2023
AutoInfo GAN: Toward a better image synthesis GAN framework for high-fidelity few-shot datasets via NAS and contrastive learning.
Knowl. Based Syst., 2023
Deriving Thresholds of Object-Oriented Metrics to Predict Defect-Proneness of Classes: A Large-Scale Meta-Analysis.
Int. J. Softw. Eng. Knowl. Eng., 2023
Empir. Softw. Eng., 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Software Analysis, 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023
Back Deduction Based Testing for Word Sense Disambiguation Ability of Machine Translation Systems.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023
Validating SMT Solvers via Skeleton Enumeration Empowered by Historical Bug-Triggering Inputs.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023
2022
CBUA: A Probabilistic, Predictive, and Practical Approach for Evaluating Test Suite Effectiveness.
IEEE Trans. Software Eng., 2022
DEPICTER: A Design-Principle Guided and Heuristic-Rule Constrained Software Refactoring Approach.
IEEE Trans. Reliab., 2022
ACM Trans. Softw. Eng. Methodol., 2022
Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
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., 2022
Aligned metric representation based balanced multiset ensemble learning for heterogeneous defect prediction.
Inf. Softw. Technol., 2022
CoRR, 2022
Proceedings of the IEEE International Conference on Software Analysis, 2022
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
2021
How Far Have We Progressed in Identifying Self-admitted Technical Debts? A Comprehensive Empirical Study.
ACM Trans. Softw. Eng. Methodol., 2021
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE Robotics Autom. Lett., 2021
Inf. Softw. Technol., 2021
Inf. Softw. Technol., 2021
An extensive empirical study of inconsistent labels in multi-version-project defect data sets.
CoRR, 2021
Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021
2020
Improving Fault-Localization Accuracy by Referencing Debugging History to Alleviate Structure Bias in Code Suspiciousness.
IEEE Trans. Reliab., 2020
How C++ Templates Are Used for Generic Programming: An Empirical Study on 50 Open Source Systems.
ACM Trans. Softw. Eng. Methodol., 2020
IEEE Trans. Cloud Comput., 2020
Boosting crash-inducing change localization with rank-performance-based feature subset selection.
Empir. Softw. Eng., 2020
Multiple-Boundary Clustering and Prioritization to Promote Neural Network Retraining.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020
2019
File-level socio-technical congruence and its relationship with bug proneness in OSS projects.
J. Syst. Softw., 2019
CoRR, 2019
Comput. Graph. Forum, 2019
Semi-supervised prediction of protein interaction sites from unlabeled sample information.
BMC Bioinform., 2019
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019
Proceedings of the 41st International Conference on Software Engineering, 2019
2018
How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction.
ACM Trans. Softw. Eng. Methodol., 2018
Trans. Inst. Meas. Control, 2018
IEEE Trans. Big Data, 2018
Understanding metric-based detectable smells in Python software: A comparative study.
Inf. Softw. Technol., 2018
Proceedings of the 25th International Conference on Software Analysis, 2018
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018
2017
Inf. Softw. Technol., 2017
Understanding the value of considering client usage context in package cohesion for fault-proneness prediction.
Autom. Softw. Eng., 2017
An empirical investigation into the cost-effectiveness of test effort allocation strategies for finding faults.
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017
The impact of continuous integration on other software development practices: a large-scale empirical study.
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017
The Utility Challenge of Privacy-Preserving Data-Sharing in Cross-Company Defect Prediction: An Empirical Study of the CLIFF&MORPH Algorithm.
Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017
How do developers fix cross-project correlated bugs?: a case study on the GitHub scientific python ecosystem.
Proceedings of the 39th International Conference on Software Engineering, 2017
Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017
Training Data Selection for Cross-Project Defection Prediction: Which Approach Is Better?
Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017
Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017
2016
An empirical investigation into the effect of slice types on slice-based cohesion metrics.
Inf. Softw. Technol., 2016
Inf. Softw. Technol., 2016
Inf. Softw. Technol., 2016
Sci. China Inf. Sci., 2016
A Search Based Context-Aware Approach for Understanding and Localizing the Fault via Weighted Call Graph.
Proceedings of the Third International Conference on Trustworthy Systems and their Applications, 2016
Proceedings of the Third International Conference on Trustworthy Systems and their Applications, 2016
Effort-aware just-in-time defect prediction: simple unsupervised models could be better than supervised models.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016
Proceedings of the International Conference on Software Analysis, Testing and Evolution, 2016
An empirical study on dependence clusters for effort-aware fault-proneness prediction.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016
2015
Are Slice-Based Cohesion Metrics Actually Useful in Effort-Aware Post-Release Fault-Proneness Prediction? An Empirical Study.
IEEE Trans. Software Eng., 2015
An empirical analysis of package-modularization metrics: Implications for software fault-proneness.
Inf. Softw. Technol., 2015
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015
Is Learning-to-Rank Cost-Effective in Recommending Relevant Files for Bug Localization?
Proceedings of the 2015 IEEE International Conference on Software Quality, 2015
Predicting Vulnerable Components via Text Mining or Software Metrics? An Effort-Aware Perspective.
Proceedings of the 2015 IEEE International Conference on Software Quality, 2015
Proceedings of the 2015 IEEE International Conference on Software Quality, 2015
Proceedings of the 2015 IEEE International Conference on Software Quality, 2015
Proceedings of the 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2015
Proceedings of the International Conference on Cloud Computing and Big Data, 2015
Proceedings of the Advances in Services Computing, 2015
2014
An in-depth study of the potentially confounding effect of class size in fault prediction.
ACM Trans. Softw. Eng. Methodol., 2014
Telecommun. Syst., 2014
Source code size estimation approaches for object-oriented systems from UML class diagrams: A comparative study.
Inf. Softw. Technol., 2014
Sci. China Inf. Sci., 2014
Proceedings of the Eighth International Conference on Software Security and Reliability, 2014
An empirical study on the adoption of C++ templates: Library templates versus user defined templates.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014
2013
Pattern Recognit., 2013
J. Artif. Intell. Res., 2013
A Clustering-Based Strategy to Identify Coincidental Correctness in Fault Localization.
Int. J. Softw. Eng. Knowl. Eng., 2013
2012
Empir. Softw. Eng., 2012
An in-depth investigation into the relationships between structural metrics and unit testability in object-oriented systems.
Sci. China Inf. Sci., 2012
Identifying Coincidental Correctness for Fault Localization by Clustering Test Cases.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012
Leveraging Method Call Anomalies to Improve the Effectiveness of Spectrum-Based Fault Localization Techniques for Object-Oriented Programs.
Proceedings of the 2012 12th International Conference on Quality Software, 2012
2011
Proceedings of the IJCAI 2011, 2011
Mutation Selection: Some Could be Better than All.
Proceedings of the EAST 2011, 2011
2010
On the ability of complexity metrics to predict fault-prone classes in object-oriented systems.
J. Syst. Softw., 2010
A Dynamic Test Cluster Sampling Strategy by Leveraging Execution Spectra Information.
Proceedings of the Third International Conference on Software Testing, 2010
2009
Examining the Potentially Confounding Effect of Class Size on the Associations between Object-Oriented Metrics and Change-Proneness.
IEEE Trans. Software Eng., 2009
Proceedings of the Ninth IEEE International Working Conference on Source Code Analysis and Manipulation, 2009
2007
IEEE Trans. Software Eng., 2007
Predicting object-oriented software maintainability using multivariate adaptive regression splines.
J. Syst. Softw., 2007
2006
Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults.
IEEE Trans. Software Eng., 2006
2005
Measuring Class Cohesion: A Causality Diagram Based Approach.
Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (SEKE'2005), 2005
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005
2004
ACM SIGSOFT Softw. Eng. Notes, 2004
J. Comput. Sci. Technol., 2004
2003
More comments on 'A cohesion measure for object-oriented classes' by Heung-Seok Chae, Yong-Rae Kwon and Doo-Hwan Bae.
Softw. Pract. Exp., 2003
Proceedings of the 10th Asia-Pacific Software Engineering Conference (APSEC 2003), 2003
2002
Proceedings of the 18th International Conference on Software Maintenance (ICSM 2002), 2002
Proceedings of the 18th International Conference on Software Maintenance (ICSM 2002), 2002
2001
Comments on A cohesion measure for object-oriented classes by Heung Seok Chae, Yong Rae Kwon and Doo Hwan Bae.
Softw. Pract. Exp., 2001
1999
Proceedings of the 1999 International Conference on Software Maintenance, 1999