Applying evolution programming search based software engineering (SBSE) in selecting the best open source software maintainability metrics
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 re...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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IEEE
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68942/1/Applying%20evolution%20programming%20search%20based%20software%20engineering%20%28SBSE%29%20in%20selecting%20the%20best%20open%20source%20software%20maintainability%20metrics.pdf |
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| author | Bakar, Abubakar Diwani Md Sultan, Abu Bakar Zulzalil, Hazura Din, Jamilah |
| author_facet | Bakar, Abubakar Diwani Md Sultan, Abu Bakar Zulzalil, Hazura Din, Jamilah |
| author_sort | Bakar, Abubakar Diwani |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T10:00:14Z |
| format | Conference or Workshop Item |
| id | upm.eprints-68942 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:00:14Z |
| publishDate | 2012 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-689422019-06-12T02:07:01Z http://psasir.upm.edu.my/id/eprint/68942/ Applying evolution programming search based software engineering (SBSE) in selecting the best open source software maintainability metrics Bakar, Abubakar Diwani Md Sultan, Abu Bakar Zulzalil, Hazura Din, Jamilah 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. IEEE 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68942/1/Applying%20evolution%20programming%20search%20based%20software%20engineering%20%28SBSE%29%20in%20selecting%20the%20best%20open%20source%20software%20maintainability%20metrics.pdf 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). 10.1109/ISCAIE.2012.6482071 |
| spellingShingle | Bakar, Abubakar Diwani Md Sultan, Abu Bakar Zulzalil, Hazura Din, Jamilah Applying evolution programming search based software engineering (SBSE) in selecting the best open source software maintainability metrics |
| title | Applying evolution programming search based software engineering (SBSE) in selecting the best open source software maintainability metrics |
| title_full | Applying evolution programming search based software engineering (SBSE) in selecting the best open source software maintainability metrics |
| title_fullStr | Applying evolution programming search based software engineering (SBSE) in selecting the best open source software maintainability metrics |
| title_full_unstemmed | Applying evolution programming search based software engineering (SBSE) in selecting the best open source software maintainability metrics |
| title_short | Applying evolution programming search based software engineering (SBSE) in selecting the best open source software maintainability metrics |
| title_sort | applying evolution programming search based software engineering sbse in selecting the best open source software maintainability metrics |
| url | http://psasir.upm.edu.my/id/eprint/68942/1/Applying%20evolution%20programming%20search%20based%20software%20engineering%20%28SBSE%29%20in%20selecting%20the%20best%20open%20source%20software%20maintainability%20metrics.pdf |
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