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Analysis of Quality of the Design of the Object Oriented Software using Fuzzy Logic

Published on April 2012 by Jagmohan Mago, Parwinder Kaur
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International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
Foundation of Computer Science USA
IRAFIT - Number 3
April 2012
Authors: Jagmohan Mago, Parwinder Kaur
abd72d66-a8b5-4df3-b6a2-78150793871e

Jagmohan Mago, Parwinder Kaur . Analysis of Quality of the Design of the Object Oriented Software using Fuzzy Logic. International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012). IRAFIT, 3 (April 2012), 21-25.

@article{
author = { Jagmohan Mago, Parwinder Kaur },
title = { Analysis of Quality of the Design of the Object Oriented Software using Fuzzy Logic },
journal = { International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012) },
issue_date = { April 2012 },
volume = { IRAFIT },
number = { 3 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 21-25 },
numpages = 5,
url = { /proceedings/irafit/number3/5865-1021/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%A Jagmohan Mago
%A Parwinder Kaur
%T Analysis of Quality of the Design of the Object Oriented Software using Fuzzy Logic
%J International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%@ 0975-8887
%V IRAFIT
%N 3
%P 21-25
%D 2012
%I International Journal of Computer Applications
Abstract

Many of the software fail due to poor quality. Estimating software quality is an important task in the software development. The development of large software system is a time consuming and resource consuming activity. Software metrics are necessary to identify where the resources are needed; they are a crucial source of information for decision making. To produce high quality object oriented applications, a strong emphasis on design aspects, especially during the early phases of software development is necessary. Design metrics play an important role in helping developers to appreciate design aspects of software i.e. improve software quality. By analyzing the metric data we can forecast the quality of the object oriented system. In this paper we propose a model based on fuzzy logic which serves as an integrated means to provide an interpretation of the OOD metrics of the CK metric suite.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ood Metrics Quality Fuzzy Logic Ck Metrics