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 Vol. 48; no. 12; pp. 5188 - 5211
Main Authors:	Soremekun, Ezekiel, Udeshi, Sakshi, Chattopadhyay, Sudipta
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2022 IEEE Computer Society
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
ISSN:	0098-5589, 1939-3520
Online Access:	Get full text
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