A Visual Text Mining approach for Systematic Reviews

Authors:
Viviane Malheiros;Erika Hohn;Roberto Pinho;Manoel Mendonca;Jose Carlos Maldonado
Affiliations:
USP, Brazil;USP, Brazil;USP, Brazil;Universidade Salvador, Brazil;USP, Brazil
Venue:
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
Year:
2007

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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.