A customizable pattern-based software process simulation model: Design, calibration and application

Software Process Improvement and Practice

Volumn 14, Issue 3, 2009, Pages 165-180

  Garousi, Vahid ^a   Khosrovian, Keyvan ^a   Pfahl, Dietmar ^a,b,c  

^a UNIVERSITY OF CALGARY   (Canada)

^b SIMULA RESEARCH LABORATORY   (Norway)

^c UNIVERSITY OF OSLO   (Norway)

Author keywords

Customization; GENSIM 2.0; Reuse; Simulation; Software process

Indexed keywords

CUSTOMIZATION; GENSIM 2.0; REUSE; SIMULATION; SOFTWARE PROCESS;

COMPUTER SOFTWARE REUSABILITY; COMPUTER SOFTWARE SELECTION AND EVALUATION; PROCESS DESIGN; RESEARCH; SIMULATORS;

MODEL STRUCTURES;

EID: 67049159405     PISSN: 10774866     EISSN: 10991670     Source Type: Journal    
DOI: 10.1002/spip.411     Document Type: Article

References (27)

1. Pfahl D, Klemm M, Ruhe G. 2001. A CBT module with integrated simulation component for software project management education and training. J. of Systems and Software 59(3): 283-298. DOI:10.1016/S0164-1212(01) 00069-3.
2. Abdel-Hamid TK,Madnick SE. 1991. Software projects dynamics - an integrated approach Prentice-Hall: Englewood Cliffs, NJ, USA.
3. Bandinelli S, et al., 1995. Modeling and improving an industrial software process. IEEE Transactions on Software Engineering 21(5): 440-453. DOI: 10.1109/32.387473.
4. Gruhn V, Saalmann A. 1992. Software process validation based on FUNSOFT nets. European Workshop on Software Process Technology Trondheim, Norway; 223-226.
5. Kellner MI, Hansen GA. 1989. Software process modeling: a case study. Proceedings of Hawaii International Conference on System Sciences, Hawaii; 175-188.
6. Mi P, Scacchi W. 1990. A knowledge-based environment for modeling and simulating software engineering processes. IEEE Transactions on Knowledge and Data Engineering. 2(3): 283-294. DOI: 10.1109/69.60792.
7. Müller, M, Pfahl, D. 2007. Simulation methods. In Advanced Topics in Empirical Software Engineering, Singer J, Shull F, Sjøberg D (eds). Springer London, England: 117-153. DOI: 10.1007/978-1-84800-044-5 5.
8. Zhang H, Kitchenham B, Pfahl D. 2008. Reflections on 10 years of software process simulation modeling: a systematic review. Proceedings of International Conference on Software Process, Leipzig, Germany; 345-356. DOI: 10.1007/978-3-540-79588-9 30.
9. Forrester JW. 1961. Industrial Dynamics. Productivity Press: Cambridge. Raffo DM, et al. 2004. Using software process simulation to assess the impact of IV&V activities. Proceedings of Software Process Simulation Modeling Workshop, Edinburgh, Scotland; 197-205.
10. Pfahl D, Lebsanft K. 2000. Knowledge acquisition and process guidance for building system dynamics simulation models: an experience report from software industry. International Journal of Software Engineering and Knowledge Engineering 10(4): 487-510.
11. Wise A.2006. Little-JIL 1.5 Language Report. Technical report UM-CS-2006-51, Department of Computer Science, University of Massachusetts, Massachusetts.
12. Ur S, Yom-Tov E, Wernick P. 2007. An open source simulation model of software testing; hardware and software, verification and testing. Proceedings of International Haifa Verification Conference, Haifa, Israel 124-137.
13. Senge P. 1990. The Fifth Discipline. Doubleday: New York.
14. Russell N et al. 2006. Workflow control-flow patterns: a revised view. Business Process Management (BPM) Center Report, BPM-06-22.
15. Madachy R. 2006. Reusable Model Structures and Behaviors for Software Processes, Vol. 3966, Wang Q et al. (eds). Springer-Verlag, Heidelberg, Germany SPW/ProSim: 222-233.
16. Angkasaputra, N, Pfahl D. 2004. Making software process simulation modeling agile and pattern-based. Proceedings of software process simulation modeling workshop, 222-227. DOI:10.1049/ic:20040462.
17. Cook JE, Wolf AL. 1998. Discovering models of software processes from event-based data. ACM Transactions on Software Engineering and Methodology 7(3): 215-249. DOI:10.1145/287000.287001.
18. Armbrust, O. 2005. Simulation-based software process modeling and evaluation. Handbook of Software Engineering & Knowledge Engineering, Advanced Topics, Vol. 3, Chang SK (eds). World Scientific, Singapore: 333-364.
19. Raffo D, Spehar G, Nayak U. 2003. Generalized simulation models: what, why and how?. Proceedings of Software Process Simulation Modeling Workshop, Portland, OR, USA.
20. Khosrovian K, Pfahl D, Garousi V. 2007a. A customizable system dynamics simulation model of generic software development processes. Schulich School of Engineering, University of Calgary: Calgary.
21. Khosrovian K,Pfahl D, Garousi V. 2007b. Calibrating a customizable system dynamics simulation model of generic software development processes. Schulich School of Engineering, University of Calgary: Calgary.
22. Frost A, Campo M. 2007. Advancing defect containment to quantitative defect management. CrossTalk - The Journal of Defense Software Engineering 12(20): 24-28.
23. Wagner S. 2006. A literature survey of the quality economics of defect-detection techniques. Proceedings of International Symposium on Empirical Software Engineering, Rio de Janeiro, Brazil: 194-203. DOI:10.1145/1159733. 1159763.
24. Damm L, Lundberg L, Wohlin C. 2006. Faults-slipthrough: a concept for measuring the efficiency of the test process. J. of Software Process: Improv. and Practice 11(1): 47-59. DOI: 10.1002/spip.253.
25. Khosrovian K, Pfahl D, Garousi V. 2007c. Application scenarios of a customizable system dynamics simulation model of generic software development processes Schulich School of Engineering, University of Calgary: Calgary.
26. Barlas Y. 1989a. Multiple tests for validation of system dynamics type of simulation models. European Journal of Operational Research 42: 59-87. DOI: 10.1016/0377-2217(89)90059-3.
27. Barlas Y. 1994b. Model Validation in System Dynamics. Proceedings of the International System Dynamics Conference, Sterling, UK: 1-10.