Abstract
This paper presents a systematic approach to develop and configure a process simulation model that relates process capabilities to business parameters in order to support process improvement projects within Siemens. The research work focuses on the systematic set up of a validated and acknowledged model that matches the company’s process improvement needs by involving experts to adapt an existing mathematical framework and simulation application. The methodology consists of three complementary steps: An approved conceptual model is used as structural skeleton, quantitative parameters are derived by a prospective expert survey, and final adaptation and customization is facilitated in order to be useable for process experts themselves (instead of model developers).
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References
Kaplan, R.S., Norton, D.P.: The Balanced Scorecard: Translating Strategy into Action. Harvard Business School Press, Boston (1996)
Raffo, D.M., Kellner, M.I.: Modeling Software Processes Quantitatively and Evaluating the Performance of Process Alternatives. In: Emam, K.E., Madhavji, N. (eds.) Elements of Software Process Assessment and Improvement, pp. 297–341. IEEE Computer Society Press, Los Alamitos (1999)
Raffo, D.M., Kellner, M.I.: Empirical Analysis in Software Process Simulation Modeling. Journal of Systems and Software 53, 31–41 (2000)
Birkhölzer, T., Dantas, L., Dickmann, C., Vaupel, J.: Interactive Simulation of Software Producing Organization’s Operations based on Concepts of CMMI and Balanced Scorecards. In: Proceedings of the 5th International Workshop on Software Process Simulation and Modeling (ProSim 2004), Edinburgh, pp. 123–132 (2004)
Pfahl, D., Stupperich, M., Krivobokova, T.: PL-SIM: A Generic Simulation Model for Studying Strategic SPI in the Automotive Industry. In: Proceedings of the 5th International Workshop on Software Process Simulation and Modeling (ProSim 2004), Edinburgh, pp. 149–158 (2004)
Raffo, D.M., Nayak, U., Setamanit, S., Sullivan, P., Wakeland, W.: Using Software Process Simulation to Assess the Impact of IV&V Activities. In: Proceedings of the 5th International Workshop on Software Process Simulation and Modeling (ProSim 2004), Edinburgh, pp. 197–205 (2004)
Birkhölzer, T., Dickmann, C., Vaupel, J., Stubenrauch, J.: Towards an Interactive Simulator for Software Process Management under Uncertainty. In: Proceedings of the 6th International Workshop on Software Process Simulation and Modelling (ProSim 2005), St. Louis, pp. 169–174 (2005)
Wakeland, S., Raffo, D.M.: Heuristic optimization as a V&V tool for software process simulation models. Software Process Improvement and Practice 10(3), 301–309 (2005)
Birkhölzer, T., Dickmann, C., Vaupel, J., Dantas, L.: An Interactive Software Management Simulator based on the CMMI Framework. Software Process Improvement and Practice 10(3), 327–340 (2005)
CMMI Product Team: CMMI for Development, Version 1.2. CMMI-DEV, V1.2, CMU/SEI-2006-TR-008, Pittsburgh (2006)
Galin, D., Avrahami, M.: Are CMM Program Investments Beneficial? Analyzing Past Studies. IEEE Software 23(6), 81–87 (2006)
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Dickmann, C., Klein, H., Birkhölzer, T., Fietz, W., Vaupel, J., Meyer, L. (2007). Deriving a Valid Process Simulation from Real World Experiences. In: Wang, Q., Pfahl, D., Raffo, D.M. (eds) Software Process Dynamics and Agility. ICSP 2007. Lecture Notes in Computer Science, vol 4470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72426-1_23
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DOI: https://doi.org/10.1007/978-3-540-72426-1_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72425-4
Online ISBN: 978-3-540-72426-1
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