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Bayesian and Fuzzy Approach to Assess and Predict the Maintainability of Software : A Comparative Study
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Quality has always been one of the major issues responsible for the success of software.
Maintainability is one of the characteristics of software quality.
A large number of techniques were developed for the assess and predication of this characteristic.
Most of these techniques do not decompose it to an actual assessment level and thus fail to give a detailed account of the impact of specific criteria.
These techniques thus constrain their use as the basis for analysis quantitatively.
In this paper, we develop a system based on fuzzy inference approach to assess and predict maintainability in a quantitative manner.
This system is an enhancement of Bayesian approach which is using activity-based quality model to deal with maintainability.
We also compare the proposed fuzzy technique with an existing Bayesian approach to depict the improvement achieved due to the advantageous accuracy of fuzzy over crisp approach.
American Psychological Association (APA)
Jeet, Kawal& Dhir, Renu. 2012. Bayesian and Fuzzy Approach to Assess and Predict the Maintainability of Software : A Comparative Study. ISRN Software Engineering،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-454121
Modern Language Association (MLA)
Jeet, Kawal& Dhir, Renu. Bayesian and Fuzzy Approach to Assess and Predict the Maintainability of Software : A Comparative Study. ISRN Software Engineering No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-454121
American Medical Association (AMA)
Jeet, Kawal& Dhir, Renu. Bayesian and Fuzzy Approach to Assess and Predict the Maintainability of Software : A Comparative Study. ISRN Software Engineering. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-454121
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-454121