Demystifying Dependency Bugs in Deep Learning Stack-Reference-Cited by-同舟云学术

Demystifying Dependency Bugs in Deep Learning Stack

Published:2023-11-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Huang Kaifeng¹,Chen Bihuan¹,Wu Susheng¹,Cao Junming¹,Ma Lei²,Peng Xin¹

Affiliation:

1. Fudan University, Shanghai, China

2. University of Tokyo, Tokyo, Japan / University of Alberta, Alberta, Canada

Funder

China Postdoctoral Science Foundation

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611643.3616325

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5. Saleema Amershi , Andrew Begel , Christian Bird , Robert DeLine , Harald Gall , Ece Kamar , Nachiappan Nagappan , Besmira Nushi , and Thomas Zimmermann . 2019 . Software engineering for machine learning: A case study . In Proceedings of the IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice. 291–300 . https://doi.org/10.1109/ICSE-SEIP.2019.00042 10.1109/ICSE-SEIP.2019.00042 10.1109/ICSE-SEIP.2019.00042 Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, and Thomas Zimmermann. 2019. Software engineering for machine learning: A case study. In Proceedings of the IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice. 291–300. https://doi.org/10.1109/ICSE-SEIP.2019.00042 10.1109/ICSE-SEIP.2019.00042

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