Bug报告总结使用可信度评分和文本排名

2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2021-04-13 DOI:10.1109/ICAIIC51459.2021.9415267

Youngjin Koh, Sungwon Kang, Seonah Lee

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引用次数: 3

摘要

在软件开发的维护阶段，bug报告为软件开发人员提供了重要的信息。然而，bug报告通常包括复杂和冗长的讨论。因此，简明准确的总结可以帮助开发人员节省阅读bug报告完整内容的时间。一些研究人员建议总结bug报告。然而，他们都没有提出结合两种不同的分数来衡量每句话在开发者评论中的重要性。在本文中，我们提出了一种无监督的bug报告摘要，它结合了可信度分数和文本排名分数来衡量句子的重要程度，以生成高质量的摘要。在公共数据集上的实验结果表明，我们的方法在摘要质量方面优于最先进的方法。

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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Bug Report Summarization using Believability Score and Text Ranking

During the maintenance phase of software development, bug reports provide software developers with important information. However, bug reports often include complex and long discussions. Therefore, concise and accurate summaries can help developers save the time for reading the full contents of bug reports. Several researchers have proposed summarizing bug reports. However, none of them proposed combining two different scores for measuring how important each sentence is among the developers’ comments. In this paper, we propose an unsupervised bug report summarization which combines believability score and text ranking score for measuring the degree to which a sentence is important, in order to generate high-quality summaries. The experimental results over a public dataset show that our method outperforms the state-of-the-art method in terms of summary quality.

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2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

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