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PEx tool evolution to support systematic review

Grant number: 08/02024-6
Support Opportunities:Scholarships in Brazil - Master
Effective date (Start): September 01, 2008
Effective date (End): February 28, 2010
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Jose Carlos Maldonado
Grantee:Rafael Messias Martins
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil


Systematic revisions have been adopted in Software Engineering as a way to gather data and information from different experimental studies, allowing the combination of these results to characterise costs and benefits associated with a certain technology or development environment/tool. The process of conducting a systematic revision, although relevant, is costly and, in many situations, slow. One of this process' stages is the selection of primary studies, which gets very difficult when considering a great volume of articles and, consequently, the problems of selecting relevant primary studies for later analysis. The use of Text Mining tools, such as Projection Explorer (PEx), to support the activities of the systematic revision process has been investigated, specifically at the selection of primary studies and analysis stages. The instantiation of Text Mining techniques and tools for specific domains, based on ontologies, may lead to a more effective and efficient systematic revision process. Since the current architecture of PEx doesn't handle ontologies instantiation, the reengineering intends to improve it and provide it's evolution and the insertion of new functionalities in an incremental manner, exploring an incremental reengineering process based on architecture. (AU)

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Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
MARTINS, Rafael Messias. Reengineering of projection explorer tool to support selection of primary studies on systematic review. 2011. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.

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