Bugsby: a tool support for bug triage automation

Oskar Picus, C. Serban
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Abstract

Within the software development life cycle, tackling issues has become an essential part, playing an important role in maintaining software quality. Once a bug report has been submitted, it is very important to perform triage to establish its severity or duplication. Several tools have been developed for tracking software issues, but few or none of them address bug triage in an automatic manner. Manually assessing these reports can be time-consuming and increases the organization’s developer cost to build and maintain their software systems. Aiming to overcome the above-mentioned limitations of existing systems, in this paper we propose a new tool – Bugsby, an open-source web application serving as an issue tracking system that implements various natural language processing-based features to automatically analyze a bug report. An empirical validation of the proposed tool was performed on 5 projects for severity prediction, duplicate retrieval and offensive language detection.
Bugsby:一个支持错误自动分类的工具
在软件开发生命周期中,处理问题已经成为一个必不可少的部分,在维护软件质量方面扮演着重要的角色。一旦提交了错误报告,执行分类以确定其严重性或重复是非常重要的。已经开发了一些用于跟踪软件问题的工具,但是很少或没有一个工具能够以自动的方式处理错误分类。手动评估这些报告可能非常耗时,并且增加了组织的开发人员构建和维护软件系统的成本。为了克服现有系统的上述局限性,本文提出了一种新的工具- Bugsby,这是一个开源的web应用程序,作为一个问题跟踪系统,实现了各种基于自然语言处理的功能来自动分析错误报告。在严重性预测、重复检索和攻击性语言检测的5个项目中对所提出的工具进行了实证验证。
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