DocumentCode :
2266294
Title :
Systematic literature reviews in software engineering: Preliminary results from interviews with researchers
Author :
Babar, Muhammad Ali ; Zhang, He
Author_Institution :
Software Eng. Res. Centre, Univ. of Limerick, Limerick, Ireland
fYear :
2009
fDate :
15-16 Oct. 2009
Firstpage :
346
Lastpage :
355
Abstract :
Systematic Literature Reviews (SLRs) have been gaining significant attention from software engineering researchers since 2004. Several researchers have reported their experiences of and lessons learned from applying systematic reviews to different subject matters in software engineering. However, there has been no attempt at independently exploring experiences and perceptions of the practitioners of systematic reviews in order to gain an in-depth understanding of various aspects of systemic reviews as a new research methodology in software engineering. We assert that there is a need of evidence based body of knowledge about the application of systematic reviews in software engineering. To address this need, we have started an empirical research program that aims to contribute to the growing body of knowledge about systematic reviews in software engineering. This paper reports the design, logistics, and results of the first phase empirical study carried out in this program. The results provide interesting insights into different aspects of systematic reviews based on the analysis of the data gathered from 17 interviewees with varying levels of knowledge of and experiences in systematic reviews. The findings from this study are expected to contribute to the existing knowledge about using systematic reviews and help further improve the state-of-the-practice of this research methodology in software engineering.
Keywords :
knowledge acquisition; software engineering; knowledge acquisition; practitioners perception; research methodology; software engineering; systematic literature review; Application software; Best practices; Data analysis; Gain measurement; Guidelines; Helium; Logistics; Resource management; Software engineering; Software measurement;
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.2009.5314235
Filename :
5314235
Link To Document :
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