ReCDroid+: Automated End-to-End Crash Reproduction from Bug Reports for Android Apps

ACM Transactions on Software Engineering and Methodology (TOSEM) Pub Date : 2022-03-07 DOI:10.1145/3488244

Yu Zhao, Ting Su, Y. Liu, Wei Zheng, Xiaoxue Wu, Ramakanth Kavuluru, William G. J. Halfond, Tingting Yu

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引用次数: 11

Abstract

The large demand of mobile devices creates significant concerns about the quality of mobile applications (apps). Developers heavily rely on bug reports in issue tracking systems to reproduce failures (e.g., crashes). However, the process of crash reproduction is often manually done by developers, making the resolution of bugs inefficient, especially given that bug reports are often written in natural language. To improve the productivity of developers in resolving bug reports, in this paper, we introduce a novel approach, called ReCDroid+, that can automatically reproduce crashes from bug reports for Android apps. ReCDroid+ uses a combination of natural language processing (NLP), deep learning, and dynamic GUI exploration to synthesize event sequences with the goal of reproducing the reported crash. We have evaluated ReCDroid+ on 66 original bug reports from 37 Android apps. The results show that ReCDroid+ successfully reproduced 42 crashes (63.6% success rate) directly from the textual description of the manually reproduced bug reports. A user study involving 12 participants demonstrates that ReCDroid+ can improve the productivity of developers when resolving crash bug reports.

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ReCDroid+:自动端到端崩溃再现从漏洞报告Android应用程序

移动设备的巨大需求引起了人们对移动应用程序质量的极大关注。开发人员严重依赖问题跟踪系统中的错误报告来重现失败(例如，崩溃)。然而，崩溃重现的过程通常是由开发人员手动完成的，这使得bug的解决效率低下，特别是考虑到bug报告通常是用自然语言编写的。为了提高开发人员解决bug报告的效率，在本文中，我们引入了一种名为ReCDroid+的新方法，它可以自动从Android应用程序的bug报告中重现崩溃。ReCDroid+结合使用自然语言处理(NLP)、深度学习和动态GUI探索来合成事件序列，目标是重现报告的崩溃。我们对来自37个Android应用的66个原始漏洞报告进行了ReCDroid+评估。结果表明，ReCDroid+直接从手动复制的错误报告的文本描述中成功复制了42次崩溃(成功率为63.6%)。一项涉及12名参与者的用户研究表明，ReCDroid+在解决崩溃bug报告时可以提高开发人员的工作效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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ACM Transactions on Software Engineering and Methodology (TOSEM)

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