DocumentCode
652662
Title
Motivation to Perform Systematic Reviews and their Impact on Software Engineering Practice
Author
Santos, Ronnie E. S. ; Da Silva, Fabio Q. B.
Author_Institution
Centre for Inf. (CIn), Fed. Univ. of Pernambuco (UFPE), Recife, Brazil
fYear
2013
fDate
10-11 Oct. 2013
Firstpage
292
Lastpage
295
Abstract
Context: Systematic literature reviews (SLRs) are a particular type of secondary study used as the main research method in evidence based research and practice. The starting point of a SLR should be a problem from the practice and the results should, somehow, have an impact on improving practice. Objective: To investigate the motivation of software engineering researchers to conduct a SLR and how the results of their reviews are potentially impacting the software engineering practice. Method: We conducted a cross-sectional survey with authors of 120 SLRs published between 2004 and 2010 identified by three tertiary studies previously published. Results: Forty-four authors of SLR participate in the survey. The motivation behind the vast majority of the SLRs was to gather knowledge about a particular field of study. However, only six participants affirmed that their reviews actually had a direct impact in industrial practice. Conclusions: The use of SLR has increased over the years but they were mostly focused on academic problems and had very little impact on industrial practice. Therefore, the full potential benefits of evidence-based software engineering are not being achieved.
Keywords
software engineering; SLR; cross-sectional survey; evidence based research; evidence-based software engineering; industrial practice; software engineering practice; software engineering researchers; systematic literature reviews; systematic reviews; Context; Decision making; Educational institutions; Industries; Software; Software engineering; Systematics; empirical software engineering; evidence based software engineering; survey research; systematic literature reviews;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Software Engineering and Measurement, 2013 ACM / IEEE International Symposium on
Conference_Location
Baltimore, MD
ISSN
1938-6451
Print_ISBN
978-0-7695-5056-5
Type
conf
DOI
10.1109/ESEM.2013.36
Filename
6681370
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