Abstract
Organizations worldwide are adopting several international standards and models, in an effort to improve the software processes, however, the difficulty by using multi-model improvement environments in the implementation of successful process improvements is well known. This paper shows the steps in order to establish a multi-model Environment based on the organization’s business goals. It includes the results of a case study on project management process improvement in an organization.
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References
SuZ, G.: Process Improvement At the Edges. Software Engineering Institute / Carnegie Mellon University (2007)
Lisa, M., John, M.: Process Improvement in a Multi-model Environment Builds Resilient Organizations (2009)
Urs, H.A., Patrick, K.: A Unified Process Improvement Approach for Multi-Model Improvement Environments (2009)
Kirwan, P., Andelfinger, U., Sassenburg, H., Heijstek, A.: A Unified Process Improvement Approach for Multi-model Improvement Environments. Software Engineering Institute (SEI). Carnegie Mellow University (2004), http://www.sei.cmu.edu/news-at-sei/features/2006/04/feature-1-2006-04.htm
Lawrence, J., Becker, N.: Implementing Insights and Lesson Learned Using ISF for Excellence. In: SEPG 2009 North America Conference (2009)
Mogilensky, J.: Pathological Box-Checking: The Dark Side of Process Improvement. In: SEPG 2009 North America Conference (2009)
Kirwan, P., Jeannie, S., Lisa, M., John, M.: Improvement Technology Classification and Composition in Multi-model Environments. In: Software Engineering Institute (SEI). Carnegie Mellon University (2008)
SEI CMMI Production Team, S.: CMMI for Development v1.3. Software Engineering Institute (January 2011)
Humphrey, W.: Introduction to the Team Software Process, p. 459. Addi-son-Wesley, Massachusetts (2006)
IEEE Computer Society: IEEE Guide Adoption of PMI Standard A Guide to the Project Management Body of Knowledge; IEEE Guide Adoption of PMI Standard A Guide to the Project Management Body of Knowledge, IEEE Std 1490-2003 (Revision of IEEE Std 1490-1998), pp. 0_1-216 (2004)
International Organization for Standardization: ISO/IEC 15504: 2004 Information technology – Process assessment (2004)
AENOR: Sistemas de Gestión de Calidad (ISO 9001:2000), UNE-EN ISO 9001, Norma Española (2000)
International Organization for Standardization: Systems and Software Engineering - Software Life Cycle Processes, IEEE STD 12207-2008, Ieeexplorer, pp. cl-138 (2008)
Basili, V.R.: Software modeling and measurement: the Goal/Question/Metric paradigm. University of Maryland at College Park College Park, MD (1992)
Calvo-Manzano, J., Cuevas, G., Gómez, G., Mejia, J., Muñoz, M., San Feliu, T., Sánchez, A.: Methodology for Process Improvement through Basic Components and Focusing on the Resistance to Change. In: Eurospi (2009)
Jose A., C.-M., Gonzalo, C., Jezreel, M., Mirna, M., Tomás, S.F., Ángel, S., Álvaro, R.: Approach to Identify Internal Best Practices in a Software Organization. In: Riel, A., O’Connor, R., Tichkiewitch, S., Messnarz, R. (eds.) EuroSPI 2010. CCIS, vol. 99, pp. 107–118. Springer, Heidelberg (2010)
Calvo-Manzano, J.A., Cuevas, G., Gómez, G., Mejia, J., Muñoz, M., San Feliu, T., Sánchez, Á.: Processes Implementation Sequences to Achieve the Maturity Level 2 in CMMI-ACQ. In: 16th EuroSPI (2009)
Wolfram Mathematica. Documentation Center (2008)
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Mirna, M., Jezreel, M. (2013). Establishing Multi-model Environments to Improve Organizational Software Processes. In: Rocha, Á., Correia, A., Wilson, T., Stroetmann, K. (eds) Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36981-0_41
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DOI: https://doi.org/10.1007/978-3-642-36981-0_41
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