International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Empirical validation of MOOD metrics to predict Software Reuse , Authors : Parwinder Kaur Dhillon; Pooja Dhand, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 6, Issue 4, July - August 2017

Title:
Empirical validation of MOOD metrics to predict Software Reuse
Author Name:
Parwinder Kaur Dhillon; Pooja Dhand
Abstract:
Abstract Validation of object oriented metrics is extremely important to ensure their relevance in the software industry. This paper finds the correlation of object-oriented metrics proposed by Abreu et al. with the degree of reuse of the design. Predicting the reusability in object oriented systems not only reduces the overall cost but also improves the overall quality of the software. The six merits of MOOD suite cover the different OO aspects viz Inheritance, coupling, encapsulation, and polymorphism. However, even if the designer has calculated these metrics, he is unable to derive a proper conclusion about the quality of design. This paper presents a fuzzy logic based model to analyze and interpret MOOD metrics for OOD quality based on reusability. Performance results prove that the MOOD metrics can be used to obtain an overall assessment of the reusability of software system. The proposed model will serve as an important decision making tool for the managers. Based on the results, it can be concluded that the proposed model could help for planning and focusing on those modules during the design and code that are likely to be reused in future. Keywords: MOOD metrics, Reuse, Fuzzy Logic, OOD, software quality
Cite this article:
Parwinder Kaur Dhillon; Pooja Dhand , " Empirical validation of MOOD metrics to predict Software Reuse " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 6, Issue 4, July - August 2017 , pp. 126-132 , ISSN 2278-6856.
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