利用软计算技术预测软件质量的有效方法

Ayush Rai, T. Choudhury, Sheetal Sharma, Kuo-Chang Ting
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引用次数: 1

摘要

如今,软件质量是许多软件开发组织的首要任务。软件可靠性与软件质量直接相关,需要建模技术来预测软件质量。早期缺陷预测帮助许多软件开发组织节省了金钱和时间,从而提高了软件的可靠性。本文提出了一个应用模糊逻辑预测软件质量的模型。该模型以模糊逻辑作为评价标准,在不同的应用中得到了应用。模糊逻辑方法在软件质量预测中得到了广泛的应用,因为与传统逻辑不同,模糊逻辑具有很高的预测能力,并能在软件测试阶段早期成功地产生有意义和适当的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient method to predict software quality using soft computing techniques
Quality of the software is the prime priority of many software development organizations now days. Software reliability is directly associated with the software quality and requires modeling techniques in predicting software quality. Early defect prediction helps many software development organization in saving both money and time and thus increase the reliability of the software. The paper presents a model which predict the software quality by using Fuzzy logic. The model has been applied to different applications using fuzzy logic as an evaluation criterion. The fuzzy logics approaches are widely used in predicting software quality because unlike the traditional logics fuzzy logics have very high prediction capability and successfully produces the meaningful and appropriate results early in the testing phase of the software.
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