WAEI/MSE: uma instância do processo WAE para micro e pequenas empresas de software - DOI: 10.4025/actascitechnol.v31i2.1386

Francisco Virginio Maracci; Thelma Elita Colanzi; Andrea Padovan Jubileu; Marcelo Vinicius Creres Rosa; Emanuelle Fabiana Said Branco

doi:10.4025/actascitechnol.v31i2.1386

WAEI/MSE: an instance of the WAE process for micro and small software enterprises - DOI: 10.4025/actascitechnol.v31i2.1386

Authors

Francisco Virginio Maracci UEM
Thelma Elita Colanzi UEM
Andrea Padovan Jubileu UNOESTE
Marcelo Vinicius Creres Rosa UNOESTE
Emanuelle Fabiana Said Branco UEM

DOI:

https://doi.org/10.4025/actascitechnol.v31i2.1386

Keywords:

Web engineering, UML, CMMI, micro and small enterprises

Abstract

In Micro and Small Enterprises (MSE) of software, there is usually not a systematic software development process. One of the reasons is that these enterprises consider the traditional processes extensive. Thus, these enterprises are usually classified in level 1 of maturity of the CMMI (Capability Maturity Model Integration). The objective of this paper is to present a proposal for a software development process, in order to aid specifically MSEs that build Web software, to help them increase the capacity level of their processes. The process was validated during its application in development of software with the support of the Unoeste Web Coordination.

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Author Biography

Francisco Virginio Maracci, UEM

possui graduação em Bacharelado em Ciência da Computação pela Universidade do Oeste Paulista (2006) . Tem experiência na área de Ciência da Computação , com ênfase em Metodologia e Técnicas da Computação. Currículo Lattes

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Published

2009-06-17

How to Cite

Maracci, F. V., Colanzi, T. E., Jubileu, A. P., Rosa, M. V. C., & Branco, E. F. S. (2009). WAEI/MSE: an instance of the WAE process for micro and small software enterprises - DOI: 10.4025/actascitechnol.v31i2.1386. Acta Scientiarum. Technology, 31(2), 141–149. https://doi.org/10.4025/actascitechnol.v31i2.1386

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Issue

Vol. 31 No. 2 (2009)

Section

Computer Science

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0.8

2019CiteScore

36th percentile