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
Title: |
Empirical validation of MOOD metrics to predict Software Reuse
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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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