The promise and perils of using machine learning when engineering software (keynote paper)

Author:

Brun Yuriy1

Affiliation:

1. University of Massachusetts at Amherst, USA

Funder

National Science Foundation

Defense Advanced Research Projects Agency

Publisher

ACM

Reference55 articles.

1. SOSRepair: Expressive Semantic Search for Real-World Program Repair

2. Alekh Agarwal , Alina Beygelzimer , Miroslav Dudík , John Langford , and Hanna Wallach . 2018 . A reductions approach to fair classification . In International Conference on Machine Learning (ICML). PMLR 80 , Stockholm, Sweden. 60–69. Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík, John Langford, and Hanna Wallach. 2018. A reductions approach to fair classification. In International Conference on Machine Learning (ICML). PMLR 80, Stockholm, Sweden. 60–69.

3. Aws Albarghouthi , Loris D’Antoni , Samuel Drews , and Aditya Nori . 2017 . FairSquare: Probabilistic Verification for Program Fairness. In ACM International Conference on Object Oriented Programming Systems Languages and Applications (OOPSLA) . Vancouver, BC, Canada. Aws Albarghouthi, Loris D’Antoni, Samuel Drews, and Aditya Nori. 2017. FairSquare: Probabilistic Verification for Program Fairness. In ACM International Conference on Object Oriented Programming Systems Languages and Applications (OOPSLA). Vancouver, BC, Canada.

4. Themis: automatically testing software for discrimination

5. Julia Angwin , Jeff Larson , Surya Mattu , and Lauren Kirchner . 2016 . Machine Bias . ProPublica , May 23 (2016), https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016. Machine Bias. ProPublica, May 23 (2016), https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

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1. MaLTeSQuE 2022 Workshop Summary;ACM SIGSOFT Software Engineering Notes;2023-01-10

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