Title :
A Visual Text Mining approach for Systematic Reviews
Author :
Malheiros, V. ; Hohn, E. ; Pinho, Rômulo ; Mendonca, Manoel
Author_Institution :
USP, Sao Carlos
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;
Conference_Titel :
Empirical Software Engineering and Measurement, 2007. ESEM 2007. First International Symposium on
Conference_Location :
Madrid
Print_ISBN :
978-0-7695-2886-1
DOI :
10.1109/ESEM.2007.21
