Fuzzy Logic Approach to Forecast the Extendibility/Extensibility in Object Oriented Design using an Integrated Model
Author(s) -
Rajinder Vir,
Parwinder Kaur Dhillon,
Jaswinder Dhillon
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/16371-5811
Subject(s) - extensibility , computer science , fuzzy logic , object (grammar) , object oriented programming , artificial intelligence , software engineering , data mining , programming language
number of researchers have conducted various empirical studies on the software metrics for Object Oriented design. The research proved that some of these metrices are very useful for forcasting the quality attributes of the software like extendibility/extensibility, effectiveness, reliability and maintainability. In this paper a hybrid approach is proposed for investigating the extendibility/extensibility of classes in Object Oriented design.Tthe hybrid approach will comprised of subset of CK netric suite and mood netric suite. These days a great demand occur for finding software measurement so that quality of software can be forcasted. Therefore software engineering require various quality models that can be used for forcasting the characteristics for quality such as extendibility/extensibility, effectiveness, reliability and maintainability. The main objective of this work is to experimentally forecast the association between OOD metrics and extendibility/extensibility.
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