用基于熵的方法评估软件Bug报告的准确性

Q4 Computer Science

International Journal of Open Source Software and Processes Pub Date : 2022-01-01 DOI:10.4018/ijossp.315280

Madhu Kumari, V. B. Singh, Meera Sharma

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引用次数: 0

摘要

开源软件(OSS)的广泛使用导致bug数据的增加，这些数据构成了广泛的数据生态系统的一个组成部分。需要对这些bug报告数据进行分析，以便修复bug，并预测各种重要属性，如bug严重性、优先级、修复时间、指派人员等。bug数据量的增加和来自不同地理位置的不同bug报告使得准确性成为一个重要的问题。我们假设在软件bug库中报告的bug报告(例如，不同的bug属性)在bug分类过程中是可信的。实际上，错误报告数据在完整性、真实性和可信来源等各个方面都是不可信的，因为错误是由可能或可能不了解软件的用户报告的。在本文中，我们提出了基于熵的模型来估计不同bug属性的准确性。

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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Evaluating the Veracity of Software Bug Reports using Entropy-based Measures

The wide usage of open source software (OSS) results in an increase of bug data forming an integral part of the extensive data ecosystem. This bug report data needs to be analyzed for bug fixing and prediction of various important attributes like bug severity, priority, fix time, assignees, etc. The increased volume of bug data and different bug reporters from different geographical locations make veracity an important concern. We assume that the bug reports (i.e., different bug attributes) reported in software bug repositories are trustworthy during the bug triaging process. In reality, the bug report data are not trustworthy regarding various aspects like integrity, authenticity, and trusted origin as the bugs are reported by users who may or may not have proper knowledge of the software. In this paper, we proposed entropy-based models for veracity estimation of different bug attributes.

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来源期刊

International Journal of Open Source Software and Processes Computer Science-Software

CiteScore

1.90

自引率

0.00%

发文量

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.