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Visual text mining: ensuring the presence of relevant studies in systematic literature reviews
Abstract
One of the activities associated with the Systematic Literature Review (SLR) process is the\ud selection review of primary studies. When the researcher faces large volumes of primary studies\ud to be analyzed, the process used to select studies can be arduous. In a previous experiment, we\ud conducted a pilot test to compare the performance and accuracy of PhD students in conducting\ud the selection review activity manually and using Visual Text Mining (VTM) techniques. The\ud goal of this paper is to describe a replication study involving PhD and Master students. The\ud replication study uses the same experimental design and materials of the original experiment.\ud This study also aims to investigate whether the researcher's level of experience with conducting\ud SLRs and research in general impacts the outcome of the primary study selection step of the\ud SLR process. The replication results have con¯rmed the outcomes of the original experiment,\ud i.e., VTM is promising and can improve the performance of the selection review of primary\ud studies. We also observed that both accuracy and performance increase in function of the\ud researcher's experience level in conducting SLRs. The use of VTM can indeed be bene¯cial\ud during the selection review activity.FAPESSimilar works
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