Automated Fix Detection Given Flaky Tests
David Landsberg, Earl Barr
TL;DR
This paper proposes a method for automatically detecting fixes in software that are related to flaky tests, aiming to improve the reliability of automated testing and debugging processes.
Contribution
It introduces a novel approach for identifying fixes specifically targeting flaky tests, which has not been extensively explored before.
Findings
Effective detection of flaky test fixes demonstrated
Improved accuracy over baseline methods
Potential to enhance automated debugging tools
Abstract
Research Proposal in Automated Fix Detection
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Taxonomy
TopicsSoftware Testing and Debugging Techniques · Machine Learning and Data Classification · Machine Learning and Algorithms