文章基本信息

标题：An Assessment of Software Testability using Fuzzy Logic Technique for Aspect-Oriented Software
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作者：Pradeep Kumar Singh ; Om Prakash Sangwan ; Amar Pal Singh 等
期刊名称：International Journal of Information Technology and Computer Science
印刷版ISSN：2074-9007
电子版ISSN：2074-9015
出版年度：2015
卷号：7
期号：3
页码：18-26
DOI：10.5815/ijitcs.2015.03.03
出版社：MECS Publisher
摘要：Testability is a property of software which introduces with the purpose of forecasting efforts need to test the programs. Software quality is the most important factor in the development of software, which can be depend on many quality attributes. The absence of testability is responsible for higher maintenance and testing effort. In this paper Fuzzy Logic is used to ascertain the relationship between the factors that affects the software testability. This paper presents the application of fuzzy logic the assessment of software testability. A new model is proposed using fuzzy inference system for tuning the performance of software testability. Aspect-oriented metrics are taken i.e. Separation of Concern (SoC), cohesion, size and coupling. These metrics are closely related to the factors i.e. Controllability, Observability, Built in Test Capability, Understandability and Complexity. These factors are independent to each other and used for accessing software testability. A Triangular Membership Function (TriMF) is applied on these factors which defined in Mamdani Fuzzy Inference System in MATLAB. In this paper, we have defined and evaluated factors combination which is used for the assessment of software testability for as well as aspect oriented software.
关键词：Aspect Oriented Programming (AOP); Aspect Oriented Software Development (AOSD); Aspect Oriented Software (AOS); Fuzzy Logic; Aspect-Oriented Metrics; Separation of Concerns (SoC); Software Testability