基于粗糙集的软件缺陷预测新方法

2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI:10.1109/ICINIS.2008.132

Weimin Yang, Longshu Li

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引用次数: 5

摘要

高质量的软件应该有尽可能少的缺陷。许多建模技术已经被提出并应用于软件质量预测。软件项目在规模和复杂性、编程语言、开发过程等方面各不相同。针对软件缺陷预测的数据集，研究了软件度量的相关性。提出了一种粗糙集模型来降低软件缺陷预测数据集的属性。实验证明了其优良的性能。

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A New Method to Predict Software Defect Based on Rough Sets

High quality software should have as few defects as possible. Many modeling techniques have been proposed and applied for software quality prediction. Software projects vary in size and complexity, programming languages, development processes, etc. We research the correlation of software metrics focusing on the data sets of software defect prediction. A rough set model is presented to reduce the attributes of data sets of software defect prediction in this paper. Experiment shows its splendid performance.

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来源期刊

2008 First International Conference on Intelligent Networks and Intelligent Systems

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