DocumentCode :
1612745
Title :
Applying evolution programming Search Based Software Engineering (SBSE) in selecting the best open source software maintainability metrics
Author :
Bakar, A.D. ; Sultan, Abu Bakar ; Zulzalil, Hazura ; Din, Jafri
Author_Institution :
Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang, Malaysia
fYear :
2012
Firstpage :
70
Lastpage :
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.
Keywords :
evolutionary computation; organisational aspects; public domain software; software maintenance; OSS; SBSE; evolution programming; open source software maintainability metrics; search based software engineering; trial and error approach; Evolution (biology); Measurement; Open source software; Programming; Sociology; Software engineering; Evolutionary Programming; Maintainability; Open Source Software; Search Base Software Engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Applications and Industrial Electronics (ISCAIE), 2012 IEEE Symposium on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-3032-9
Type :
conf
DOI :
10.1109/ISCAIE.2012.6482071
Filename :
6482071
Link To Document :
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