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2013 | OriginalPaper | Buchkapitel

Using Information Visualization and Text Mining to Facilitate the Conduction of Systematic Literature Reviews

verfasst von : Sandra Fabbri, Elis Hernandes, Andre Di Thommazo, Anderson Belgamo, Augusto Zamboni, Cleiton Silva

Erschienen in: Enterprise Information Systems

Verlag: Springer Berlin Heidelberg

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Abstract

Systematic Literature Review (SLR or SR) and Systematic Mapping (SM) are scientific literature review techniques that follow well-defined stages, according to a protocol previously elaborated. Besides systematizing the search for relevant studies, the SR predicts the organization and the analysis of the obtained results. However, the SR application is laborious because there are many steps to be followed. Aiming to offer computational support to SR and SM, the StArt (State of the Art through Systematic Review) tool was developed. Besides helping the steps of SR or SM, the StArt tool has implemented visualization and text mining techniques to support the conduction and the reporting of the SR or SM. A comparative analysis was carried out in relation to StArt and other similar tools.

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Metadaten
Titel
Using Information Visualization and Text Mining to Facilitate the Conduction of Systematic Literature Reviews
verfasst von
Sandra Fabbri
Elis Hernandes
Andre Di Thommazo
Anderson Belgamo
Augusto Zamboni
Cleiton Silva
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-40654-6_15

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