MAPS-15504 - An automated methodology for software process assessment

  • Itana Maria de Souza Gimenes UEM
  • Ademir Morgenstern Padilha CESULON-Londrina
  • Jacques Wainer UNICAMP

Abstract

The increasing demand for quality has led the software engineering community to produce several standards and norms to guide the quality of software products and processes. Amongst the process standards, the following may be highlighted due to their wide use: ISO 9000-3, ISO 12207, CMM and ISO/IEC TR 15504. An additional important research result of the software engineering community is Process-centered software engineering environments (PSEE). These environments aim at providing integrated support for software process automation. This paper presents MAPS-15504, an automated methodology for evaluation of the quality of software processes based on the ISO/IEC TR 15504. MAPS-15504 was applied to a case study and implemented in the ExPSEE environment. ExPSEE is an experimental PSEE developed at the Department (DIN) of Informatics of the State University of Maringá (UEM)

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Author Biography

Itana Maria de Souza Gimenes, UEM
Possui bacharelado em Processamento de Dados pela Universidade Federal da Bahia (1981); mestrado em Ciência da Computação pela Universidade Estadual de Campinas (1987); doutorado em Computer Science - The University Of York (1992) e pós-doutorado na University of Waterloo, Canadá (2005). Atualmente é professora titular da Universidade Estadual de Maringá. Tem experiência na área de Ciência da Computação, com ênfase em Engenharia de Software, atuando principalmente nos seguintes temas: ambientes de desenvolvimento de software, processo de software, workflow management systems, processos de negócios, desenvolvimento baseado em componentes, arquitetura de software e ferramentas de apoio Currículo Lattes
Published
2008-05-13
How to Cite
Gimenes, I. M. de S., Padilha, A. M., & Wainer, J. (2008). MAPS-15504 - An automated methodology for software process assessment. Acta Scientiarum. Technology, 22, 1333-1338. https://doi.org/10.4025/actascitechnol.v22i0.3069
Section
Computer Science

 

0.8
2019CiteScore
 
 
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus