Yuming Zhou

Orcid: 0000-0002-4645-2526

According to our database1, Yuming Zhou authored at least 134 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

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

2023
Mitigating False Positive Static Analysis Warnings: Progress, Challenges, and Opportunities.
IEEE Trans. Software Eng., December, 2023

Uncovering Bugs in Code Coverage Profilers via Control Flow Constraint Solving.
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

Inconsistent Defect Labels: Essence, Causes, and Influence.
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

Leveraging Stack Overflow to detect relevant tutorial fragments of APIs.
Empir. Softw. Eng., 2023

Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation.
CoRR, 2023

Human-in-the-loop online just-in-time software defect prediction.
CoRR, 2023

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT.
CoRR, 2023

On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook.
CoRR, 2023

Toward a consistent performance evaluation for defect prediction models.
CoRR, 2023

Boosting Compiler Testing via Eliminating Test Programs with Long-Execution-Time.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

SMT Solver Validation Empowered by Large Pre-Trained Language Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

How Well Static Type Checkers Work with Gradual Typing? A Case Study on Python.
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

Towards Better Dependency Scope Settings in Maven Projects.
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

Investigating the Impact of Bug Dependencies on Bug-Fixing Time Prediction.
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

Mutant Reduction Evaluation: What is There and What is Missing?
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

Test suite effectiveness metric evaluation: what do we know and what should we do?
CoRR, 2022

Isolating Compiler Optimization Faults via Differentiating Finer-grained Options.
Proceedings of the IEEE International Conference on Software Analysis, 2022

Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Training Data Debugging for the Fairness of Machine Learning Software.
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

Imbalance Data Processing Strategy for Protein Interaction Sites Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Ground and Aerial Collaborative Mapping in Urban Environments.
IEEE Robotics Autom. Lett., 2021

Boundary sampling to boost mutation testing for deep learning models.
Inf. Softw. Technol., 2021

Prioritizing code documentation effort: Can we do it simpler but better?
Inf. Softw. Technol., 2021

Towards Black-box Attacks on Deep Learning Apps.
CoRR, 2021

Mutant reduction evaluation: what is there and what is missing?
CoRR, 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

A Context-Aware Service Evaluation Approach over Big Data for Cloud Applications.
IEEE Trans. Cloud Comput., 2020

Examining the effects of developer familiarity on bug fixing.
J. Syst. Softw., 2020

Boosting crash-inducing change localization with rank-performance-based feature subset selection.
Empir. Softw. Eng., 2020

Prioritizing documentation effort: Can we do better?
CoRR, 2020

Multiple-Boundary Clustering and Prioritization to Promote Neural Network Retraining.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Impact analysis of cross-project bugs on software ecosystems.
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

MAT: A simple yet strong baseline for identifying self-admitted technical debt.
CoRR, 2019

Discrete Calabi Flow: A Unified Conformal Parameterization Method.
Comput. Graph. Forum, 2019

Semi-supervised prediction of protein interaction sites from unlabeled sample information.
BMC Bioinform., 2019

Automatic Self-Validation for Code Coverage Profilers.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Hunting for bugs in code coverage tools via randomized differential testing.
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

An algorithm for sensor fault diagnosis with EEMD-SVM.
Trans. Inst. Meas. Control, 2018

Structural Balance Theory-Based E-Commerce Recommendation over Big Rating Data.
IEEE Trans. Big Data, 2018

Understanding metric-based detectable smells in Python software: A comparative study.
Inf. Softw. Technol., 2018

Connecting software metrics across versions to predict defects.
Proceedings of the 25th International Conference on Software Analysis, 2018

Predicting the Breakability of Blocking Bug Pairs.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Towards an understanding of change types in bug fixing code.
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

Code Churn: A Neglected Metric in Effort-Aware Just-in-Time Defect Prediction.
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

An Empirical Study on Downstream Workarounds for Cross-Project Bugs.
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

An extensive empirical study on C++ concurrency constructs.
Inf. Softw. Technol., 2016

Empirical analysis of network measures for effort-aware fault-proneness prediction.
Inf. Softw. Technol., 2016

Empirical analysis of network measures for predicting high severity software faults.
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

What Are the Dominant Projects in the GitHub Python Ecosystem?
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

Do We Have a Chance to Fix Bugs When Refactoring Code Smells?
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

A novel ensemble method for classifying imbalanced data.
Pattern Recognit., 2015

An empirical analysis of package-modularization metrics: Implications for software fault-proneness.
Inf. Softw. Technol., 2015

A metrics-based comparative study on object-oriented programming languages.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

How do developers use C++ libraries? An empirical study.
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

Are Anti-patterns Coupled? An Empirical Study.
Proceedings of the 2015 IEEE International Conference on Software Quality, 2015

An AST-Based Approach to Classifying Defects.
Proceedings of the 2015 IEEE International Conference on Software Quality, 2015

An Empirical Study on C++ Concurrency Constructs.
Proceedings of the 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2015

A Context-Aware Service Selection Approach Based on Historical Records.
Proceedings of the International Conference on Cloud Computing and Big Data, 2015

A Social Balance Theory-Based Service Recommendation Approach.
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

A novel network performance evaluation method based on maximizing deviations.
Telecommun. Syst., 2014

Source code size estimation approaches for object-oriented systems from UML class diagrams: A comparative study.
Inf. Softw. Technol., 2014

Identifying extract class refactoring opportunities for internetware.
Sci. China Inf. Sci., 2014

The Influence of Developer Quality on Software Fault-Proneness Prediction.
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

Dynamic Slicing of Python Programs.
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

2013
Selecting feature subset for high dimensional data via the propositional FOIL rules.
Pattern Recognit., 2013

A Feature Subset Selection Algorithm Automatic Recommendation Method.
J. Artif. Intell. Res., 2013

A Clustering-Based Strategy to Identify Coincidental Correctness in Fault Localization.
Int. J. Softw. Eng. Knowl. Eng., 2013

2012
The ability of object-oriented metrics to predict change-proneness: a meta-analysis.
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
Matching Large Ontologies Based on Reduction Anchors.
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

Improving Side-Effect Analysis with Lazy Access Path Resolving.
Proceedings of the Ninth IEEE International Working Conference on Source Code Analysis and Manipulation, 2009

2007
MNav: A Markov Model-Based Web Site Navigability Measure.
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
An improved accuracy measure for rough sets.
J. Comput. Syst. Sci., 2005

DMC: a more precise cohesion measure for classes.
Inf. Softw. Technol., 2005

Measuring Class Cohesion: A Causality Diagram Based Approach.
Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (SEKE'2005), 2005

Measuring structural complexity for class diagrams: an information theory approach.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2004
A comparative study of graph theory-based class cohesion measures.
ACM SIGSOFT Softw. Eng. Notes, 2004

A compile-time optimization framework for Ada rendezvous.
ACM SIGPLAN Notices, 2004

Measuring Class Cohesion Based on Dependence Analysis.
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

DRC: A Dependence Relationships Based Cohesion Measure for Classes.
Proceedings of the 10th Asia-Pacific Software Engineering Conference (APSEC 2003), 2003

2002
ICBMC: An Improved Cohesion Measure for Classes.
Proceedings of the 18th International Conference on Software Maintenance (ICSM 2002), 2002

A Novel Approach to Measuring Class Cohesion Based on Dependence Analysis.
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

Extracting Objects from Ada83 Programs: A Case Study.
J. Comput. Sci. Technol., 2001

1999
Extracting Objects of Ada Programs Using Module Features.
Proceedings of the 1999 International Conference on Software Maintenance, 1999


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