Published May 16, 2023 | Version 1.0.2
Conference paper Open

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

Authors/Creators

  • 1. University of Southern California
  • 2. University of Central Missouri
  • 3. University of Cincinnati

Description

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

Files

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Additional details

Funding

U.S. National Science Foundation
Collaborative Research: SHF: Medium: Improving Software Quality by Automatically Reproducing Failures from Bug Reports 2211454

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.