DocumentCode
2768169
Title
Software complexity: A fuzzy logic approach
Author
Sabharwal, Sangeeta ; Sibal, Ritu ; Kaur, Preeti
Author_Institution
Dept. of Comput. Eng. & Inf. Technol., Netaji Subhas Inst. of Technol., Delhi, India
fYear
2012
fDate
19-20 Oct. 2012
Firstpage
1
Lastpage
6
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.
Keywords
fuzzy logic; program testing; software maintenance; software metrics; software quality; fuzzy logic approach; maintainability; quality attribute; software complexity; testability; Complexity theory; Computers; Fuzzy logic; Measurement; Pragmatics; Software; Testing; cyclomatic complexity; essential complexity; fuzzy logic; looping depth;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
Conference_Location
Mumbai
Print_ISBN
978-1-4577-2077-2
Type
conf
DOI
10.1109/ICCICT.2012.6398233
Filename
6398233
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