跨项目缺陷预测文献综述

Lipika Goel, D. Damodaran, S. Khatri, Mayank Sharma
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引用次数: 11

摘要

在缺陷预测领域,大多数文献都是关于项目内部缺陷预测的。拥有类似项目的历史数据来进行预测总是不可行的。因此,CPDP(跨项目缺陷预测)作为缺陷预测的一个子集,已成为当今研究的热门话题。本文对 CPDP 进行了系统综述。本文总结了不同作者使用的不同方法。在预测过程中可以观察到大量的差异和异质性。数据集、学习者、度量选择和用于比较的标准度量等方面的差异是确定 CPDP 最佳实践的一项挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A literature review on cross project defect prediction
In the area of defect prediction most of the literature comprises of within project defect prediction. It is always not feasible to have the historical data of the similar projects for predictions. Therefore, CPDP (Cross Project Defect Prediction) as a subset of defect prediction in general has become a popular topic in research these days. In this paper, we present a systematic review of the CPDP. This paper summarizes the different methodologies used by various authors. A great amount of variation and heterogeneity is observed in the prediction process. The variations in the datasets, the learners, metric selection and the standard measure for comparisons are a challenge to determine the best practice for CPDP.
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