Bug Triage Automation Approaches

Madonna Fanoos, A. Hamdy, K. Nagaty
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Abstract

Bug triage is an essential task in the software maintenance phase. It is the process of assigning a developer (fixer) to a bug report. A personnel (triager) has to analyze the developers' profiles and bug reports for the purpose of making a suitable assignment. Manual bug triage consumes time and effort, so automating this process is a necessity. The previous research studies addressed the triage problem as an information retrieval problem, where the new bug report is the query. Other researchers tackled this problem as a classification problem and utilized traditional machine learning or deep learning techniques. A handful of research studies handled this problem as an optimization problem and utilized optimization algorithms such as Hungarian. This paper briefs and analyzes the previous bug triage approaches in addition to conducting an empirical comparison among five of the previous approaches.
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Bug分类自动化方法
Bug分类是软件维护阶段的一项基本任务。它是分配开发人员(修复者)处理bug报告的过程。人员(triager)必须分析开发人员的概要文件和bug报告,以便做出合适的分配。手动错误分类需要花费时间和精力,因此必须将此过程自动化。以前的研究将分类问题作为信息检索问题来处理,其中新的错误报告是查询。其他研究人员将这个问题作为分类问题来解决,并利用传统的机器学习或深度学习技术。一些研究将这个问题作为一个优化问题来处理,并利用了匈牙利等优化算法。本文简要介绍和分析了以往的bug分类方法,并对其中的五种方法进行了实证比较。
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
16
期刊介绍: The International Journal of Open Source Software and Processes (IJOSSP) publishes high-quality peer-reviewed and original research articles on the large field of open source software and processes. This wide area entails many intriguing question and facets, including the special development process performed by a large number of geographically dispersed programmers, community issues like coordination and communication, motivations of the participants, and also economic and legal issues. Beyond this topic, open source software is an example of a highly distributed innovation process led by the users. Therefore, many aspects have relevance beyond the realm of software and its development. In this tradition, IJOSSP also publishes papers on these topics. IJOSSP is a multi-disciplinary outlet, and welcomes submissions from all relevant fields of research and applying a multitude of research approaches.
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