Yibiao Yang

Orcid: 0000-0003-1153-2013

According to our database1, Yibiao Yang authored at least 47 papers between 2014 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Risky Dynamic Typing-related Practices in Python: An Empirical Study.
ACM Trans. Softw. Eng. Methodol., July, 2024

Assessing Effectiveness of Test Suites: What Do We Know and What Should We Do?
ACM Trans. Softw. Eng. Methodol., May, 2024

Cross-version defect prediction using threshold-based active learning.
J. Softw. Evol. Process., April, 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

Six-Dimensional Strain Sensor Based on Fiber Bragg Gratings for Frozen Soil.
IEEE Trans. Instrum. Meas., 2024

Towards a framework for reliable performance evaluation in defect prediction.
Sci. Comput. Program., 2024

Toward Exploring the Code Understanding Capabilities of Pre-trained Code Generation Models.
CoRR, 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

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

Effective Isolation of Fault-Correlated Variables via Statistical and Mutation Analysis.
IEEE Trans. Software Eng., April, 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

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

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

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

An Empirical Study of the Bug Link Rate.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

2019
Predictive analysis for race detection in software-defined networks.
Sci. China Inf. Sci., 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

Exploring the Impact of Code Smells on Fine-Grained Structural Change-Proneness.
Int. J. Softw. Eng. Knowl. Eng., 2018

Are Smell-Based Metrics Actually Useful in Effort-Aware Structural Change-Proneness Prediction? An Empirical Study.
Proceedings of the 25th Asia-Pacific Software Engineering 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

An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization.
Proceedings of the 2017 IEEE International Conference on Software Quality, 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

2016
An empirical investigation into the effect of slice types on slice-based cohesion metrics.
Inf. Softw. Technol., 2016

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

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

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

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

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

The Influence of Developer Quality on Software Fault-Proneness Prediction.
Proceedings of the Eighth International Conference on Software Security and Reliability, 2014


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