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
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