Software complexity: A fuzzy logic approach

S. Sabharwal, R. Sibal, P. Kaur
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引用次数: 2

Abstract

Software complexity is one of the important quality attribute and predicting complexity is a difficult task for software engineers. Current measures can be used to compute complexity but these methods are not sufficient. New methods or paradigms are being searched for predicting complexity because complexity prediction can help us in estimating many other quality attributes like testability and maintainability. The main goal of this paper is to explore the role of new paradigms like fuzzy logic in complexity prediction. In this paper we have proposed a fuzzy logic based approach to predict software complexity.
软件复杂性:一种模糊逻辑方法
软件复杂性是软件质量的重要属性之一,预测复杂性是软件工程师面临的一个难题。目前的方法可以用来计算复杂性,但这些方法是不够的。人们正在寻找预测复杂性的新方法或范例,因为复杂性预测可以帮助我们估计许多其他质量属性,如可测试性和可维护性。本文的主要目的是探讨模糊逻辑等新范式在复杂性预测中的作用。本文提出了一种基于模糊逻辑的软件复杂度预测方法。
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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