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First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)
A Visual Text Mining approach for Systematic Reviews
Madrid, Spain
September 20-September 21
ISBN: 0-7695-2886-4
ASCII Text
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Viviane Malheiros, Erika Hohn, Roberto Pinho, Manoel Mendonca, Jose Carlos Maldonado, "A Visual Text Mining approach for Systematic Reviews," Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 245-254, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ESEM.2007.21,
author = {Viviane Malheiros and Erika Hohn and Roberto Pinho and Manoel Mendonca and Jose Carlos Maldonado},
title = {A Visual Text Mining approach for Systematic Reviews},
journal ={Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement},
volume = {0},
year = {2007},
issn = {1938-6451},
pages = {245-254},
doi = {http://doi.ieeecomputersociety.org/10.1109/ESEM.2007.21},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
TI - A Visual Text Mining approach for Systematic Reviews
SN - 1938-6451
SP245
EP254
A1 - Viviane Malheiros,
A1 - Erika Hohn,
A1 - Roberto Pinho,
A1 - Manoel Mendonca,
A1 - Jose Carlos Maldonado,
PY - 2007
KW - null
VL - 0
JA - Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
ER -
 
Viviane Malheiros, USP, Brazil
Erika Hohn, USP, Brazil
Roberto Pinho, USP, Brazil
Manoel Mendonca, Universidade Salvador, Brazil
Jose Carlos Maldonado, USP, Brazil
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.
Citation:
Viviane Malheiros, Erika Hohn, Roberto Pinho, Manoel Mendonca, Jose Carlos Maldonado, "A Visual Text Mining approach for Systematic Reviews," esem, pp.245-254, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), 2007
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