基于计算智能的软件可靠性方法

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI:10.1109/CONFLUENCE.2017.7943144

Tamanna, O. Sangwan

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引用次数: 0

摘要

采用单一的通用软件可靠性增长模型进行准确的软件可靠性预测是非常困难的。在这篇论文中，我们回顾了使用计算智能进行预测的不同模型，并描述了这些技术如何优于传统的统计模型。以表格形式总结了参数、疗效指标和方法。

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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Computational intelligence based approaches to software reliability

Accurate software reliability prediction with a single universal software reliability growth model is very difficult. In this ρ aper we reviewed different models which uses computational intelligence for the prediction purpose and describe how these techniques outperform conventional statistical models. Parameters, efficacy measures with methodologies are concluded in tabular form.

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2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence

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