文章基本信息

标题：Estimation of Software Testing Time with Fuzzy Inference System and Adaptive Neuro Fuzzy Inference System
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作者：Amarpal Singh ; Piyush Saxena ; Abhishek Singhal 等
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：3
页码：58-64
出版社：International Journal of Soft Computing & Engineering
摘要：Software development is an extremely composite plus brainstorming action. In previous days programmers wrote programs by means of machine language in which they exhausted their more time in thinking about an exacting machine's instructions rather than the solution of the problem in their hands. Progressively, program developers switched to advanced stage of programming languages (high-level languages). Software testing is an imperative attribute of software quality. However the prediction of this attribute is a cumbersome process. Therefore various methodologies are proposed so far to estimate the testing time of software. Among them Fuzzy Inference System (FIS) and Adaptive Neuro- Fuzzy Inference System (ANFIS) is one of the sophisticated methods which have immense prediction capability and this paper explores its application to evaluate testing time of the aspect-oriented system. Prediction of testing time is performed by FIS and ANFIS. The results obtained from the current study are compared with adaptive neuro- fuzzy inference system and it is revealed that which model is more useful.
关键词：Module oriented approach (MOA); Aspect;oriented;software;approach;(AOSA);Object;Oriented;Approach(OOA); Fuzzy Inference System (FIS); Adaptive Neuro-;Fuzzy Inference System (ANFIS)