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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.

            Content

            Author and article information

            Contributors
            Conference
            April 2010
            April 2010
            : 1-10
            Affiliations
            [0001]ICMC/Universidade de São Paulo

            Caixa Postal 668

            13560-970 São Carlos, SP, Brazil
            [0002]Depto. de Sistemas de Computação

            ICMC/Universidade de São Paulo

            Caixa Postal 668

            13560-970 São Carlos, SP, Brazil
            [0003]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
            c36bb8b4-c1e0-4b74-a6c4-9e4e5cb0f144
            © 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
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EASE2010.5
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Information Visualization,Systematic Mapping,Visual Text Mining

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