gDefects4DL: A Dataset of General Real-World Deep Learning Program Defects

The development of deep learning programs, as a new programming paradigm, is observed to suffer from various defects. Emerging research works have been proposed to detect, debug, and repair deep learning bugs, which drive the need to construct the bug benchmarks. In this work, we present gDefects4DL...

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Bibliographic Details

Published in:	2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) pp. 90 - 94
Main Authors:	Liang, Yunkai, Lin, Yun, Song, Xuezhi, Sun, Jun, Feng, Zhiyong, Dong, Jin Song
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2022
Subjects:	Computer architecture Computer bugs Deep learning Programming Shape Software Software and its engineering→Software testing and debugging Tensors
Online Access:	Get full text
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