Infraestrutura para um Corpo de Conhecimento em Melhoria de Processos de Software Baseado no MR-MPS-SW
Resumo
As organizações de desenvolvimento de software geralmente seguem modelos de maturidade para orientar suas iniciativas de melhoria de processos de software, sendo responsáveis por identificar e escolher as tecnologias para atender aos requisitos desses modelos. Este trabalho propõe uma infraestrutura para organizar um corpo de conhecimento de tecnologias que apóie a implementação do MR-MPS-SW com foco nas necessidades dos profissionais de melhoria de processos de software.
Palavras-chave:
Melhoria de Processos, Software, MR-MPS-SW
Referências
Basili, V. R., Caldiera, G. and Rombach, H. D. (1994). The Goal Question Metric Approach. Wiley.
Biffl, S., Kalinowski, M., Ekaputra, F. J., Serral, E. E. and Winkler, D. (2014). Building Empirical Software Engineering Bodies of Knowledge with Systematic Knowledge Engineering. In International Conference on Software Engineering and Knowledge Engineering (SEKE).
Biffl, S., Kalinowski, M., Rabiser, R., Ekaputra, F. and Winkler, D. (29 dec 2014). Systematic Knowledge Engineering: Building Bodies of Knowledge from Published Research. International Journal of Software Engineering and Knowledge Engineering, v. 24, n. 10, p. 1533–1571.
Cerdeiral, C. T. (2014). Implantação de Inovações Tecnológicas e de Processo em Organizações de Software. Tese de Doutorado. UFRJ.
Chinn, P. L. and Kramer, M. K. (1995). Theory and nursing: a systematic approach. Mosby.
CMMI Product Team (2010). CMMI for Development, Version 1.3. Carnegie Mellon University. http://repository.cmu.edu/sei/287/.
Davis, F. D. (sep 1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, v. 13, n. 3, p. 319.
Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (aug 1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, v. 35, n. 8, p. 982–1003.
Harris, Z. S. (1981). Distributional Structure. Dordrecht: Springer Netherlands.
Jedlitschka, A., Juristo, N. and Rombach, D. (11 dec 2014). Reporting experiments to satisfy professionals’ information needs. Empirical Software Engineering, v. 19, n. 6, p. 1921–1955.
Kalinowski, M., Santos, G., Reinehr, S., et al. (2010). MPS . BR : Promovendo a Adoção de Boas Práticas de Engenharia de Software pela Indústria Brasileira. In XIII Congreso Iberoamericano en“ Software Engineering”(CIBSE). . http://www.softex.br/mpsbr/_guias/default.asp.
Kalinowski, M., Weber, K., Franco, N., et al. (2014). Results of 10 years of software process improvement in Brazil based on the MPS-SW model. Proceedings 2014 9th aInternational Conference on the Quality of Information and Communications Technology, QUATIC 2014, n. December 2003, p. 28–37.
Kitchenham, B. and Charters, S. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. Engineering, v. 2, p. 1051.
Kuhrmann, M., Konopka, C., Nellemann, P., Diebold, P. and Münch, J. (aug 2015). Software process improvement: where is the evidence? Initial findings from a systematic mapping study. In Proceedings of the 2015 International Conference on Software and System Process ICSSP 2015. . ACM Press. http://dl.acm.org/citation.cfm?doid=2785592.2785600.
Levenshtein, V. (1966). Binary Codes Capable of Correcting Deletions, Insertions and Reversals. Soviet Physics Doklady, v. 10, p. 707.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology,
Lupo, P. P. (2016). MPS BOK – Infraestrutura para a Construção de um Corpo de Conhecimento em Melhoria de Processos de Software. Dissertação de Mestrado. UFRJ.
Montoni, M. A. (2010). Uma investigação sobre os fatores críticos de sucesso em iniciativas de melhorias de processos de software. Tese de Doutorado. UFRJ.
Oliver, G. R. (2012). Foundations of the Assumed Business Operations and Strategy Body of Knowledge (BOSBOK): An Outline of Shareable Knowledge. Darlington Press.
Ören, T. I. (2005). Toward the Body of Knowledge of Modeling and Simulation. In Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2005. .http://www.site.uottawa.ca/~oren/pubs-pres/2005/pub-0513-MSBOK-IITSEC.pdf.
Pinheiro, G., Souza, P. J. S. De, Ronaldo, S. and Oliveira, B. (2015). SpiderMsControl : Uma Ferramenta para Apoio ao Processo de Medição usando a Abordagem GQIM. In Workshop Anual do MPS.
Rajaraman, A. and Ullman, J. D. (2011). Data Mining. Cambridge: Cambridge University Press.
Richardson, W. S., Wilson, M. C., Nishikawa, J. and Hayward, R. S. (jan 1995). The well-built clinical question: a key to evidence-based decisions. ACP journal club, v.123, n. 3, p. A12-3.
Santos, G., Kalinowski, M., Rocha, A. R., et al. (2012). MPS.BR program and MPS model: Main results, benefits and beneficiaries of software process improvement in Brazil. Proceedings 2012 8th International Conference on the Quality of Information and Communications Technology, QUATIC 2012, p. 137–142.
Shull, F., Carver, J., Travassos, G. H., et al. (2003). Replicated Studies: Building a Body of Knowledge about Software Reading Techniques. Lecture Notes on Empirical Software Engineering. WORLD SCIENTIFIC. p. 39–84.
Softex (2016). Guia Geral MPS de Software. Associação para Promoção da Excelência do Software Brasileiro – SOFTEX.
Travassos, G. H. and Kalinowski, M. (2014). iMPS 2013: Evidências Sobre o Desempenho das Empresas que Adotaram o Modelo MPS-SW. Campinas, SP: Softex Associação para Promoção da Excelência do Software Brasileiro.
Turner, M., Kitchenham, B., Brereton, P., Charters, S. and Budgen, D. (may 2010). Does the technology acceptance model predict actual use? A systematic literature review. Information and Software Technology, v. 52, n. 5, p. 463–479.
Biffl, S., Kalinowski, M., Ekaputra, F. J., Serral, E. E. and Winkler, D. (2014). Building Empirical Software Engineering Bodies of Knowledge with Systematic Knowledge Engineering. In International Conference on Software Engineering and Knowledge Engineering (SEKE).
Biffl, S., Kalinowski, M., Rabiser, R., Ekaputra, F. and Winkler, D. (29 dec 2014). Systematic Knowledge Engineering: Building Bodies of Knowledge from Published Research. International Journal of Software Engineering and Knowledge Engineering, v. 24, n. 10, p. 1533–1571.
Cerdeiral, C. T. (2014). Implantação de Inovações Tecnológicas e de Processo em Organizações de Software. Tese de Doutorado. UFRJ.
Chinn, P. L. and Kramer, M. K. (1995). Theory and nursing: a systematic approach. Mosby.
CMMI Product Team (2010). CMMI for Development, Version 1.3. Carnegie Mellon University. http://repository.cmu.edu/sei/287/.
Davis, F. D. (sep 1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, v. 13, n. 3, p. 319.
Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (aug 1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, v. 35, n. 8, p. 982–1003.
Harris, Z. S. (1981). Distributional Structure. Dordrecht: Springer Netherlands.
Jedlitschka, A., Juristo, N. and Rombach, D. (11 dec 2014). Reporting experiments to satisfy professionals’ information needs. Empirical Software Engineering, v. 19, n. 6, p. 1921–1955.
Kalinowski, M., Santos, G., Reinehr, S., et al. (2010). MPS . BR : Promovendo a Adoção de Boas Práticas de Engenharia de Software pela Indústria Brasileira. In XIII Congreso Iberoamericano en“ Software Engineering”(CIBSE). . http://www.softex.br/mpsbr/_guias/default.asp.
Kalinowski, M., Weber, K., Franco, N., et al. (2014). Results of 10 years of software process improvement in Brazil based on the MPS-SW model. Proceedings 2014 9th aInternational Conference on the Quality of Information and Communications Technology, QUATIC 2014, n. December 2003, p. 28–37.
Kitchenham, B. and Charters, S. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. Engineering, v. 2, p. 1051.
Kuhrmann, M., Konopka, C., Nellemann, P., Diebold, P. and Münch, J. (aug 2015). Software process improvement: where is the evidence? Initial findings from a systematic mapping study. In Proceedings of the 2015 International Conference on Software and System Process ICSSP 2015. . ACM Press. http://dl.acm.org/citation.cfm?doid=2785592.2785600.
Levenshtein, V. (1966). Binary Codes Capable of Correcting Deletions, Insertions and Reversals. Soviet Physics Doklady, v. 10, p. 707.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology,
Lupo, P. P. (2016). MPS BOK – Infraestrutura para a Construção de um Corpo de Conhecimento em Melhoria de Processos de Software. Dissertação de Mestrado. UFRJ.
Montoni, M. A. (2010). Uma investigação sobre os fatores críticos de sucesso em iniciativas de melhorias de processos de software. Tese de Doutorado. UFRJ.
Oliver, G. R. (2012). Foundations of the Assumed Business Operations and Strategy Body of Knowledge (BOSBOK): An Outline of Shareable Knowledge. Darlington Press.
Ören, T. I. (2005). Toward the Body of Knowledge of Modeling and Simulation. In Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2005. .http://www.site.uottawa.ca/~oren/pubs-pres/2005/pub-0513-MSBOK-IITSEC.pdf.
Pinheiro, G., Souza, P. J. S. De, Ronaldo, S. and Oliveira, B. (2015). SpiderMsControl : Uma Ferramenta para Apoio ao Processo de Medição usando a Abordagem GQIM. In Workshop Anual do MPS.
Rajaraman, A. and Ullman, J. D. (2011). Data Mining. Cambridge: Cambridge University Press.
Richardson, W. S., Wilson, M. C., Nishikawa, J. and Hayward, R. S. (jan 1995). The well-built clinical question: a key to evidence-based decisions. ACP journal club, v.123, n. 3, p. A12-3.
Santos, G., Kalinowski, M., Rocha, A. R., et al. (2012). MPS.BR program and MPS model: Main results, benefits and beneficiaries of software process improvement in Brazil. Proceedings 2012 8th International Conference on the Quality of Information and Communications Technology, QUATIC 2012, p. 137–142.
Shull, F., Carver, J., Travassos, G. H., et al. (2003). Replicated Studies: Building a Body of Knowledge about Software Reading Techniques. Lecture Notes on Empirical Software Engineering. WORLD SCIENTIFIC. p. 39–84.
Softex (2016). Guia Geral MPS de Software. Associação para Promoção da Excelência do Software Brasileiro – SOFTEX.
Travassos, G. H. and Kalinowski, M. (2014). iMPS 2013: Evidências Sobre o Desempenho das Empresas que Adotaram o Modelo MPS-SW. Campinas, SP: Softex Associação para Promoção da Excelência do Software Brasileiro.
Turner, M., Kitchenham, B., Brereton, P., Charters, S. and Budgen, D. (may 2010). Does the technology acceptance model predict actual use? A systematic literature review. Information and Software Technology, v. 52, n. 5, p. 463–479.
Publicado
24/10/2016
Como Citar
LUPO, Peter P.; KALINOWSKI, Marcos; ROCHA, Ana Regina C. da.
Infraestrutura para um Corpo de Conhecimento em Melhoria de Processos de Software Baseado no MR-MPS-SW. In: SIMPÓSIO BRASILEIRO DE QUALIDADE DE SOFTWARE (SBQS), 15. , 2016, Maceió.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 151-165.
DOI: https://doi.org/10.5753/sbqs.2016.15132.
