Automatically Reproducing Android Bug Reports using Natural Language Processing and Reinforcement Learning

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Preprint 12 Jul 2023Embargo end date: 01 Jan 2023Publisher:ACMJournal:Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and AnalysisFunded by:NSF | Collaborative Research: S...

Authors: Zhaoxu Zhang; Robert Winn; Yu Zhao 0010; Tingting Yu 0001; William G. J. Halfond;

doi: 10.1145/3597926.3598066 , 10.5281/zenodo.7942383 , 10.48550/arxiv.2301.07775 , 10.5281/zenodo.7977751 , 10.5281/zenodo.8021593 , 10.5281/zenodo.7942384

arXiv: 2301.07775

Automatically Reproducing Android Bug Reports using Natural Language Processing and Reinforcement Learning

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Abstract

{"references": ["Automatically Reproducing Android Bug Reports Using Natural Language Processing and Reinforcement Learning. Zhaoxu Zhang, Robert Winn, Yu Zhao, Tingting Yu and William G.J Halfond. In Proceedings of the International Symposium on Software Testing and Analysis (ISSTA 2023). July 2023."]}

This is the artifact of the paper Automatically Reproducing Android Bug Reports Using Natural Language Processing and Reinforcement Learning accepted by ISSTA 2023.

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Keywords

Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

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