DocumentCode
652663
Title
Tools to Support Systematic Literature Reviews in Software Engineering: A Mapping Study
Author
Marshall, Chris ; Brereton, P.
Author_Institution
Sch. of Comput. & Math., Keele Univ., Keele, UK
fYear
2013
fDate
10-11 Oct. 2013
Firstpage
296
Lastpage
299
Abstract
Background: Systematic literature reviews (SLRs) have become an established methodology in software engineering (SE) research however they can be very time consuming and error prone. Aim: The aims of this study are to identify and classify tools that can help to automate part or all of the SLR process within the SE domain. Method: A mapping study was performed using an automated search strategy plus snowballing to locate relevant papers. A set of known papers was used to validate the search string. Results: 14 papers were accepted into the final set. Eight presented text mining tools and six discussed the use of visualisation techniques. The stage most commonly targeted was study selection. Only two papers reported an independent evaluation of the tool presented. The majority were evaluated through small experiments and examples of their use. Conclusions: A variety of tools are available to support the SLR process although many are in the early stages of development and usage.
Keywords
software engineering; SE domain; SLR process; automated search strategy; mapping study; software engineering; support systematic literature reviews; visualisation techniques; Software; Software engineering; Software measurement; Systematics; Text mining; Visualization; automated tool; systematic literature review;
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.2013.32
Filename
6681371
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