Using Visual Text Mining to Support the Study Selection in Systematic Literature Reviews

Kartia, Felizardo and Salleh, Norsaremah and Rafael, Martins and Mendes, Emilia and MacDonel, Stephen G. and Maldonado, José C. (2011) Using Visual Text Mining to Support the Study Selection in Systematic Literature Reviews. In: 2011 International Symposium on Empirical Software Engineering and Measurement, 22 - 23 September 2011, Banff, Canada.

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Abstract

Abstract— Background: A systematic literature review (SLR) is a methodology used to aggregate all relevant existing evidence to answer a research question of interest. Although crucial, the process used to select primary studies can be arduous, time consuming, and must often be conducted manually. Objective: We propose a novel approach, known as ‘Systematic Literature Review based on Visual Text Mining’ or simply SLR-VTM, to support the primary study selection activity using visual text mining (VTM) techniques. Method: We conducted a case study to compare the performance and effectiveness of four doctoral students in selecting primary studies manually and using the SLR-VTM approach. To enable the comparison, we also developed a VTM tool that implemented our approach. We hypothesized that students using SLR-VTM would present improved selection performance and effectiveness. Results: Our results show that incorporating VTM in the SLR study selection activity reduced the time spent in this activity and also increased the number of studies correctly included. Conclusions: Our pilot case study presents promising results suggesting that the use of VTM may indeed be beneficial during the study selection activity when performing an SLR.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	3705/9035 ISBN 978-0-7695-4604-9
Uncontrolled Keywords:	Evidence-based software engineering (EBSE); systematic literature review (SLR); study selection activity, visual text mining (VTM
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr Norsaremah Salleh
Date Deposited:	26 Jan 2012 15:54
Last Modified:	26 May 2015 15:07
URI:	http://irep.iium.edu.my/id/eprint/9035

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