DocumentCode
1575640
Title
A Visual Text Mining approach for Systematic Reviews
Author
Malheiros, V. ; Hohn, E. ; Pinho, Rômulo ; Mendonca, Manoel
Author_Institution
USP, Sao Carlos
fYear
2007
Firstpage
245
Lastpage
254
Abstract
The software engineering research community has been adopting systematic reviews as an unbiased and fair way to assess a research topic. Despite encouraging early results, a systematic review process can be time consuming and hard to conduct. Thus, tools that help on its planning or execution are needed. This article suggests the use of visual text mining (VTM) to aid systematic reviews. A feasibility study was conducted comparing the proposed approach with a manual process. We observed that VTM can contribute to systematic review and we propose a new strategy called VTM-Based systematic review.
Keywords
data mining; document handling; research topic; software engineering; systematic reviews; visual text mining approach; Costs; Decision making; Humans; Programming; Software development management; Software engineering; Software measurement; Stress; Technology management; Text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Software Engineering and Measurement, 2007. ESEM 2007. First International Symposium on
Conference_Location
Madrid
ISSN
1938-6451
Print_ISBN
978-0-7695-2886-1
Type
conf
DOI
10.1109/ESEM.2007.21
Filename
4343752
Link To Document