Detecting flaky tests in probabilistic and machine learning applications-Reference-Cited by-同舟云学术

Detecting flaky tests in probabilistic and machine learning applications

Published:2020-07-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis
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Author:

Dutta Saikat¹,Shi August¹,Choudhary Rutvik¹,Zhang Zhekun¹,Jain Aryaman¹,Misailovic Sasa¹

Affiliation:

1. University of Illinois at Urbana-Champaign, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3395363.3397366

Reference72 articles.

1. AllenNLP Commit 089d744 2019. https://github.com/allenai/allennlp/pull/2778/ commits/089d744. AllenNLP Commit 089d744 2019. https://github.com/allenai/allennlp/pull/2778/ commits/089d744.

2. AllenNLP Commit 53bba3d 2018. https://github.com/allenai/allennlp/commit/ 53bba3d. AllenNLP Commit 53bba3d 2018. https://github.com/allenai/allennlp/commit/ 53bba3d.

3. American Fuzzy Loop 2014. http://lcamtuf.coredump.cx/afl. American Fuzzy Loop 2014. http://lcamtuf.coredump.cx/afl.

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