Models of incremental concept formation
Artificial Intelligence
A vector space model for automatic indexing
Communications of the ACM
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
The InfoSky visual explorer: exploiting hierarchical structure and document similarities
Information Visualization
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Journal of Systems and Software
Visual text mining using association rules
Computers and Graphics
A Systematic Review of Software Development Cost Estimation Studies
IEEE Transactions on Software Engineering
The Future of Empirical Methods in Software Engineering Research
FOSE '07 2007 Future of Software Engineering
Developing Search Strategies for Detecting Relevant Experiments for Systematic Reviews
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
Applying Systematic Reviews to Diverse Study Types: An Experience Report
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
A Visual Text Mining approach for Systematic Reviews
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
A Taxonomy of Clutter Reduction for Information Visualisation
IEEE Transactions on Visualization and Computer Graphics
Strength of evidence in systematic reviews in software engineering
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Systematic literature reviews in software engineering - A systematic literature review
Information and Software Technology
IEEE Transactions on Visualization and Computer Graphics
Supporting Systematic Reviews Using Text Mining
Social Science Computer Review
Systematic literature reviews in software engineering - A tertiary study
Information and Software Technology
Synthesizing evidence in software engineering research
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis
Journal of the American Society for Information Science and Technology
Reference-based search strategies in systematic reviews
EASE'09 Proceedings of the 13th international conference on Evaluation and Assessment in Software Engineering
EASE'10 Proceedings of the 14th international conference on Evaluation and Assessment in Software Engineering
Experiences conducting systematic reviews from novices' perspective
EASE'10 Proceedings of the 14th international conference on Evaluation and Assessment in Software Engineering
From visual data exploration to visual data mining: a survey
IEEE Transactions on Visualization and Computer Graphics
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Context: Systematic Literature Reviews (SLRs) are an important component to identify and aggregate research evidence from different empirical studies. Despite its relevance, most of the process is conducted manually, implying additional effort when the Selection Review task is performed and leading to reading all studies under analysis more than once. Objective: We propose an approach based on Visual Text Mining (VTM) techniques to assist the Selection Review task in SLR. It is implemented into a VTM tool (Revis), which is freely available for use. Method: We have selected and implemented appropriate visualization techniques into our approach and validated and demonstrated its usefulness in performing real SLRs. Results: The results have shown that employment of VTM techniques can successfully assist in the Selection Review task, speeding up the entire SLR process in comparison to the conventional approach. Conclusion: VTM techniques are valuable tools to be used in the context of selecting studies in the SLR process, prone to speed up some stages of SLRs.