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Simulation-based software process modeling and evaluation

 
: Armbrust, O.; Berlage, T.; Hanne, T.; Lang, P.; Münch, J.; Neu, H.; Nickel, S.; Rus, I.; Sarishvili, A.; Stockum, S. van; Wirsen, A.

Chang, S.-K.:
Handbook of software engineering & knowledge engineering. Vol.3: Recent advances
Singapore: World Scientific, 2005
ISBN: 981-256-273-7
pp.333-364
English
Book Article
Fraunhofer IESE ()
Fraunhofer ITWM ()
software process modeling; data analysis; simulation; decision support; visualization; optimization

Abstract
Decision support for planning and improving software development projects is a crucial success factor. The special characteristics of software development aggregate these tasks in contrast to the planning of many other processes, such as production processes. Process simulation can be used to support decisions on process alternatives on the basis of existing knowledge. Thereby, new development knowledge can be gained faster and more cost-effectively.
This chapter gives a short introduction to experimental software engineering, describes simulation approaches within that area, and introduces a method for systematically developing discrete-event software process simulation models. Advanced simulation modeling techniques will point out key problems and possible solutions, including the use of visualization techniques for better simulation result interpretation.

: http://publica.fraunhofer.de/documents/N-33729.html