Estimation of Software Maintainability using Fuzzy Logic Technique

被引：0

作者：

Pratap, Amrendra ^{[1
]}

Chaudhary, Rahul ^{[1
]}

Yadav, Kaushlendra ^{[2
]}

机构：

[1] Amity Univ, Dept Comp Sci, Noida, Uttar Pradesh, India

[2] MTU, Dept Comp Sci, Noida, Uttar Pradesh, India

来源：

PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON ISSUES AND CHALLENGES IN INTELLIGENT COMPUTING TECHNIQUES (ICICT) | 2014年

关键词：

Fuzzy Logic; Fuzzy Inference System (FIS); Object Oriented Metric; Adaptability (AD); Complexity (CLX); Understandability (USD); Document Quality (DocQ); Readability (RD); Triangular Membership Function (TriMF); Trapezoidal Membership Function (TrapMF); Gaussian Membership function (GMF); Rule Base; Knowledge Base;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Software quality is the most important factor in the development of software, which can be depend on many quality attributes. One of the technique is Fuzzy Logic which can be used to establish the relationship between object oriented metrics and software maintainability. This paper presents the application of fuzzy logic in estimation of software maintainability. In this paper, a new model is proposed using fuzzy inference system for tuning the performance of software maintenance. We have used some object oriented metrics i.e. Adaptability (AD), Complexity (CLX), Understandability (USD), Document Quality (DocQ) and Readability (RD) for accessing software maintainability levels using Fuzzy Logic. We also assumed different membership functions such as Triangular Membership Function, Trapezoidal Membership Function and Gaussian Membership function defined in Fuzzy Inference System in MATLAB for these metrics in order to estimate software maintainability.

引用

页码：486 / 492

页数：7

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