1.4 KiB
1.4 KiB
links:: Local library, Web library authors:: Zhenpeng Chen, Jie M. Zhang, Max Hort, Federica Sarro, Mark Harman tags:: Computer Science - Software Engineering, ReadingNotes date:: 05-08-2022 item-type:: preprint title:: @Fairness Testing: A Comprehensive Survey and Analysis of Trends
- Abstract
- Software systems are vulnerable to fairness bugs and frequently exhibit unfair behaviors, making software fairness an increasingly important concern for software engineers. Research has focused on helping software engineers to detect fairness bugs automatically. This paper provides a comprehensive survey of existing research on fairness testing. We collect 122 papers and organise them based on the testing workflow (i.e., the testing activities) and the testing components (i.e., where to find fairness bugs) for conducting fairness testing. We also analyze the research focus, trends, promising directions, as well as widely-adopted datasets and open source tools for fairness testing.
- Attachments
- arXiv.org Snapshot {{zotero-imported-file YVM7VSIU, "2207.html"}}
- Chen et al_2022_Fairness Testing.pdf {{zotero-imported-file PB2CLBM2, "Chen et al_2022_Fairness Testing.pdf"}}