Wanwangying Ma

According to our database1, Wanwangying Ma authored at least 25 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Towards Better Dependency Management: A First Look at Dependency Smells in Python Projects.
IEEE Trans. Software Eng., April, 2023

2022
CBUA: A Probabilistic, Predictive, and Practical Approach for Evaluating Test Suite Effectiveness.
IEEE Trans. Software Eng., 2022

Collaboration in software ecosystems: A study of work groups in open environment.
Inf. Softw. Technol., 2022

2020
How C++ Templates Are Used for Generic Programming: An Empirical Study on 50 Open Source Systems.
ACM Trans. Softw. Eng. Methodol., 2020

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

An Empirical Study on Dynamic Typing Related Practices in Python Systems.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 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

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

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

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., 2018

Recognizing Potential Runtime Types from Python Docstrings.
Proceedings of the Software Analysis, Testing, and Evolution, 2018

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

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

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

An Empirical Study on Downstream Workarounds for Cross-Project Bugs.
Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

What are the Factors Impacting Build Breakage?
Proceedings of the 14th Web Information Systems and Applications Conference, 2017

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

What Are the Dominant Projects in the GitHub Python Ecosystem?
Proceedings of the Third International Conference on Trustworthy Systems and their Applications, 2016

Tracking Down Dynamic Feature Code Changes against Python Software Evolution.
Proceedings of the Third International Conference on Trustworthy Systems and their Applications, 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

Detecting Code Smells in Python Programs.
Proceedings of the International Conference on Software Analysis, Testing and Evolution, 2016

An Empirical Study on the Characteristics of Python Fine-Grained Source Code Change Types.
Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

2015
An empirical study on the impact of Python dynamic features on change-proneness.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

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


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