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      An Approach Based on Visual Text Mining to Support Categorization and Classification in the Systematic Mapping

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      14th International Conference on Evaluation and Assessment in Software Engineering (EASE) (EASE)

      Evaluation and Assessment in Software Engineering

      12 - 13 April 2010

      Systematic Mapping, Information Visualization, Visual Text Mining

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          Abstract

          Context: Systematic mapping provides an overview of a research area to assess the quantity of evidence existing on a topic of interest. In spite of its relevance, the establishment of consistent categories and classification of primary studies in these categories are manually conducted.

          Objective: We propose an approach, named SM-VTM (Systematic Mapping based on Visual Text Mining), to support categorization and classification stages in the systematic mapping using Visual Text Mining (VTM), aiming at reducing time and effort required in this process.

          Method: We established SM-VTM, selected a VTM tool and conducted a case study comparing results of two systematic mappings: one performed manually and another using our approach.

          Results: The results of both systematic mappings were very similar, showing the viability of SM-VTM. Furthermore, since our approach was applied using a tool, reduction of time and effort can be achieved.

          Conclusions: The application of VTM seems to be very relevant in the context of systematic mapping.

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          Most cited references 5

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          The Automatic Creation of Literature Abstracts

           H. P. Luhn (1958)
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            Information visualization and visual data mining

             D.A. Keim (2002)
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              Evidence-based software engineering for practitioners

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                Author and article information

                Contributors
                Conference
                April 2010
                April 2010
                : 1-10
                Affiliations
                ICMC/Universidade de São Paulo

                Caixa Postal 668

                13560-970 São Carlos, SP, Brazil
                Depto. de Sistemas de Computação

                ICMC/Universidade de São Paulo

                Caixa Postal 668

                13560-970 São Carlos, SP, Brazil
                Depto. de Ciências da Computação

                ICMC/Universidade de São Paulo

                Caixa Postal 668

                13560-970 São Carlos, SP, Brazil
                Article
                10.14236/ewic/EASE2010.5
                © Katia Romero Felizardo et al. Published by BCS Learning and Development Ltd. 14th International Conference on Evaluation and Assessment in Software Engineering (EASE), Keele University, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                14th International Conference on Evaluation and Assessment in Software Engineering (EASE)
                EASE
                Keele University, UK
                12 - 13 April 2010
                Electronic Workshops in Computing (eWiC)
                Evaluation and Assessment in Software Engineering
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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