Astraea: Grammar-Based Fairness Testing

Software often produces biased outputs. In particular, machine learning (ML) based software is known to produce erroneous predictions when processing discriminatory inputs . Such unfair program behavior can be caused by societal bias. In the last few years, Amazon, Microsoft and Google have provided...

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Bibliographic Details
Published in:IEEE transactions on software engineering 2022-12, Vol.48 (12), p.5188-5211
Main Authors: Soremekun, Ezekiel, Udeshi, Sakshi, Chattopadhyay, Sudipta
Format: Article
Language:English
Subjects:
Bias
Fault diagnosis
Grammar
Grammars
Machine learning
Natural language processing
program debugging
Sentiment analysis
Software
software fairness
Software systems
Software testing
Task analysis
Test pattern generators
Testing
Violations
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