New Trends in Software Process Modeling (Software by Silvia T. Acuna, Maria Isabel Sanchez-segura
By Silvia T. Acuna, Maria Isabel Sanchez-segura
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Finitestate automata or Markov chains) can be used for software process simulation modeling, they are less common because the state spaces involved are typically very large. Examples of discrete-event simulation 26 M. Ruiz, I. Ramos, M. Toro applied to model and simulate the software process can be found in Raffo12, Kellner13 and Hansen14. A continuous simulation model represents the interactions between key process factors, as a set of differential equations, where time is increased step by step.
A Meta-Model for Formulating Knowledge-Based Models of Software Development, Decision Support Systems, 17(4), 313-330. Cook, J. L. 1998. Discovering Models of Software Processes from Event-Based Data, ACM Trans. Software Engineering and Methodology, 7(3), 215249. L. S. 1993. A Study in Software Process Data Capture and Analysis, Proc. Second Intern. Conf. on the Software Process, 115-124, IEEE Computer Society. K. and Bhansali, S. 1992. Process programming by hindsight, Proc. 141h Intern. Conf.
22. W. A. 2001. Creating Semantic Web Contents with Protege-2000, IEEE Intelligent Systems, 16(2), 60-71. 23. E. and Osterweil, L. 2003. Artifact-based Functional Comparison of Software Processes, Proc. ProSim '03 Workshop, Portland, OR, May 2003. 24. Scacchi, W. 2000. Understanding Software Process Redesign using Modeling, Analysis, and Simulation, Software Process—Improvement and Practice, 5(2/3), 183-195. 25. Jensen, C. and Scacchi, W. 2004. Data Mining for Software Process Discovery in Open Source Software Development Communities, submitted for publication.