Applying evolution programming search based software engineering (SBSE) in selecting the best open source software maintainability metrics

Citation

Bakar, Abubakar Diwani and Md Sultan, Abu Bakar and Zulzalil, Hazura and Din, Jamilah (2012) Applying evolution programming search based software engineering (SBSE) in selecting the best open source software maintainability metrics. In: 2012 IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE 2012), 3-4 Dec. 2012, The Magellan Sutera Resort, Kota Kinabalu, Sabah. (pp. 70-73).

Abstract

The nature of an Open Source Software development paradigm forces individual practitioners and organization to adopt software through trial and error approach. This leads to the problems of coming across software and then abandoning it after realizing its lack of important qualities to suit their requirements or facing negative challenges in maintaining the software. These contributed by lack of recognizing guidelines to lead the practitioners in selecting out of the dozens available metrics, the best metric(s) to measure quality OSS. In this study, the novel results provide the guidelines that lead to the development of metrics model that can select the best metric(s) to predict maintainability of Open Source Software.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/ISCAIE.2012.6482071
Publisher:	IEEE
Keywords:	Open source software; Search base software engineering; Evolutionary programming; Maintainability
Depositing User:	Nabilah Mustapa
Date Deposited:	12 Jun 2019 02:07
Last Modified:	12 Jun 2019 02:07
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ISCAIE.2012.6482071
URI:	http://psasir.upm.edu.my/id/eprint/68942
Statistic Details:	View Download Statistic

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