Bug预测的局部和全局近因加权方法

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI:10.1109/MSR.2007.17

Hemant Joshi, Chuanlei Zhang, S. Ramaswamy, Coskun Bayrak

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引用次数: 15

摘要

查找和修复软件错误是一项具有挑战性的维护任务，软件开发公司在这个问题上投入了大量的精力。在本文中，我们使用Eclipse项目记录的软件错误历史来预测未来错误的发生。历史记录包含有关何时报告错误并随后修复错误的信息。

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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Local and Global Recency Weighting Approach to Bug Prediction

Finding and fixing software bugs is a challenging maintenance task, and a significant amount of effort is invested by software development companies on this issue. In this paper, we use the Eclipse project's recorded software bug history to predict occurrence of future bugs. The history contains information on when bugs have been reported and subsequently fixed.

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Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)

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