用遗传算法组合和适应软件质量预测模型

Proceedings 17th IEEE International Conference on Automated Software Engineering, Pub Date : 2002-09-23 DOI:10.1109/ASE.2002.1115031

D. Azar, Doina Precup, S. Bouktif, B. Kégl, H. Sahraoui

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引用次数: 22

摘要

质量模型的目标是从一组直接度量开始预测质量因素。为一个特定的软件选择一个合适的质量模型是一个困难的、重要的决定。在本文中，我们提出了一种组合和/或调整现有模型(专家)的方法，使组合/调整的模型在特定系统上工作得很好。测试结果表明，模型的表现明显优于单个专家。

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Combining and adapting software quality predictive models by genetic algorithms

The goal of quality models is to predict a quality factor starting from a set of direct measures. Selecting an appropriate quality model for a particular software is a difficult, non-trivial decision. In this paper, we propose an approach to combine and/or adapt existing models (experts) in such way that the combined/adapted model works well on the particular system. Test results indicate that the models perform significantly better than individual experts in the pool.

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Proceedings 17th IEEE International Conference on Automated Software Engineering,

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