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
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;
Conference_Titel :
Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4577-2077-2
DOI :
10.1109/ICCICT.2012.6398233