DocumentCode :
2266275
Title :
A systematic review of software maintainability prediction and metrics
Author :
Riaz, Mehwish ; Mendes, Emilia ; Tempero, Ewan
Author_Institution :
Dept. of Comput. Sci., Univ. of Auckland, Auckland, New Zealand
fYear :
2009
fDate :
15-16 Oct. 2009
Firstpage :
367
Lastpage :
377
Abstract :
This paper presents the results of a systematic review conducted to collect evidence on software maintainability prediction and metrics. The study was targeted at the software quality attribute of maintainability as opposed to the process of software maintenance. The evidence was gathered from the selected studies against a set of meaningful and focused questions. 710 studies were initially retrieved; however of these only 15 studies were selected; their quality was assessed; data extraction was performed; and data was synthesized against the research questions. Our results suggest that there is little evidence on the effectiveness of software maintainability prediction techniques and models.
Keywords :
software maintenance; software metrics; software quality; data extraction; software maintainability prediction; software metrics; software quality attribute; systematic review; Costs; Predictive models; Software engineering; Software maintenance; Software measurement; Software performance; Software quality; Software systems; State estimation; Strontium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on
Conference_Location :
Lake Buena Vista, FL
ISSN :
1938-6451
Print_ISBN :
978-1-4244-4842-5
Electronic_ISBN :
1938-6451
Type :
conf
DOI :
10.1109/ESEM.2009.5314233
Filename :
5314233
Link To Document :
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