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A systematic literature review (SLR) is a methodology used to find andaggregate all relevant existing evidence about a specific research question ofinterest. Important decisions need to be made at several points in the reviewprocess, relating to search of the literature, selection of relevant primarystudies and use of methods of synthesis. Visualization can support tasks thatinvolve large collections of data, such as the studies collected, evaluated andsummarized in an SLR. The objective of this paper is to present the results ofa systematic mapping study (SM) conducted to collect and evaluate evidence onthe use of a specific visualization technique, visual data mining (VDM), tosupport the SLR process. We reviewed 20 papers and our results indicate ascarcity of research on the use of VDM to help with conducting SLRs in thesoftware engineering domain. However, most of the studies (16 of the 20 studiesincluded in our mapping) have been conducted in the field of medicine and theyrevealed that the activities of data extraction and data synthesis, related toconducting the review phase of an SLR process, have more VDM support than otheractivities. In contrast, according to our SM, previous studies using VDMtechniques with SLRs have not employed such techniques during the SLR'splanning and reporting phases.

A Systematic Mapping on the use of Visual Data Mining to Support the Conduct of Systematic Literature Reviews