A Commit Messages-Based Bug Localization for Android Applications

Author:

Zhang Tao12,Hu Wenjun3,Luo Xiapu4,Ma Xiaobo5

Affiliation:

1. College of Computer Science and Technology, Harbin Engineering University, Harbin, Heilongjiang 150001, P. R. China

2. Key Laboratory of Network Assessment Technology, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, P. R. China

3. Palo Alto Networks, Inc., 3000 Tannery Way, Santa Clara, CA 95054, USA

4. Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, P. R. China

5. MOE Key Laboratory for Intelligent Networks and Network Security, School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P. R. China

Abstract

Recently, there has been consistent growth in Android applications (apps). Under these circumstances, software maintenance for Android apps becomes an essential and important task. The core of software maintenance is to locate bugs in source files. Previous bug localization approaches mainly focus on open-source desktop software (e.g. Eclipse, Mozilla, GCC). Even though a few studies locate the bugs in the Android apps, they are dedicated to a special app named ZXing, without developing a general method to locate the bugs in Android apps by taking into account the unique characteristics of Android apps’ bug reports. Such characteristics include fewer number of historical bug reports, insufficient detailed description, etc. These characteristics hinder existing localization approaches from being directly delivered to Android apps, because lack of enough information degrades the performance of those localization approaches relying on historical bug reports. Commit messages include more informative data which can provide the details of reported bugs. Therefore, in this paper, we propose a novel information retrieval-based approach which utilizes commit messages to locate new bugs in Android apps. This approach not only considers the structured textual similarity between the given bug and the candidate source files, but also computes the unstructured textual similarities between the new bug and the commit messages linked to the corresponding source files. According to the experimental results on 10 popular open-source Android apps managed by GitHub, our approach outperforms the state-of-the-art bug localization methods that include BugLocator, BLUiR, and two-phase model.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi‐graph learning‐based software defect location;Journal of Software: Evolution and Process;2023-03-29

2. An Empirical Investigation into the Reproduction of Bug Reports for Android Apps;2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2022-03

3. Constructing Bug Knowledge Graph as a Service for Bug Search;International Journal of Software Engineering and Knowledge Engineering;2021-01

4. Labelling issue reports in mobile apps;IET Software;2019-12

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