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

Garousi, Vahid; Khosrovian, Keyvan and Pfahl, Dietmar LU (2009) In Software Process: Improvement and Practice 14. p.165-180
Abstract
Software process analysis and improvement relies heavily on empirical research. Empirical research requires measurement, experimentation, and modeling. However, whatever evidence is gained via empirical research is strongly context dependent. Thus, it is hard to combine results and capitalize upon them for the purpose of improvement in evolving development environments. The process simulationmodel GENSIM2.0 addresses these challenges. GENSIM 2.0 is a generic process simulation tool representing V-model type software development processes. Compared to existing process simulation models in the literature, the novelty of GENSIM 2.0 is twofold. Firstly, its model structure is customizable to organization-specific processes. This is achieved by... (More)
Software process analysis and improvement relies heavily on empirical research. Empirical research requires measurement, experimentation, and modeling. However, whatever evidence is gained via empirical research is strongly context dependent. Thus, it is hard to combine results and capitalize upon them for the purpose of improvement in evolving development environments. The process simulationmodel GENSIM2.0 addresses these challenges. GENSIM 2.0 is a generic process simulation tool representing V-model type software development processes. Compared to existing process simulation models in the literature, the novelty of GENSIM 2.0 is twofold. Firstly, its model structure is customizable to organization-specific processes. This is achieved by using a limited set of generic structures (macro-patterns). Secondly, its model parameters can be easily calibrated to available empirical data and expert knowledge. This is achieved by making the internal model structures explicit and by providing guidance on how to calibrate model parameters. This article outlines the structure of GENSIM 2.0, gives examples on how to calibrate themodel to available empirical data, and demonstrates its usefulness through two application scenarios The first scenario illustrates how GENSIM 2.0 helps in finding effective combinations of verification and validation techniques under given time and effort constraints. The second scenario shows how the simulator supports in finding the best combination of alternative verification techniques. © 2009 John Wiley & Sons, Ltd. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
GENSIM 2.0, Customization, Reuse, Simulation, Computer software reusability, Software process, Computer software selection and evaluation, Model structures, Simulators, Process design, Research
in
Software Process: Improvement and Practice
volume
14
pages
165 - 180
publisher
John Wiley and Sons Inc.
external identifiers
  • Scopus:67049159405
ISSN
1077-4866
DOI
10.1002/spip.411
language
English
LU publication?
no
id
70274e58-f08b-4475-b9d6-e05ae62f5b93 (old id 1662722)
date added to LUP
2010-08-30 14:43:03
date last changed
2016-10-13 04:31:25
@misc{70274e58-f08b-4475-b9d6-e05ae62f5b93,
  abstract     = {Software process analysis and improvement relies heavily on empirical research. Empirical research requires measurement, experimentation, and modeling. However, whatever evidence is gained via empirical research is strongly context dependent. Thus, it is hard to combine results and capitalize upon them for the purpose of improvement in evolving development environments. The process simulationmodel GENSIM2.0 addresses these challenges. GENSIM 2.0 is a generic process simulation tool representing V-model type software development processes. Compared to existing process simulation models in the literature, the novelty of GENSIM 2.0 is twofold. Firstly, its model structure is customizable to organization-specific processes. This is achieved by using a limited set of generic structures (macro-patterns). Secondly, its model parameters can be easily calibrated to available empirical data and expert knowledge. This is achieved by making the internal model structures explicit and by providing guidance on how to calibrate model parameters. This article outlines the structure of GENSIM 2.0, gives examples on how to calibrate themodel to available empirical data, and demonstrates its usefulness through two application scenarios The first scenario illustrates how GENSIM 2.0 helps in finding effective combinations of verification and validation techniques under given time and effort constraints. The second scenario shows how the simulator supports in finding the best combination of alternative verification techniques. © 2009 John Wiley & Sons, Ltd.},
  author       = {Garousi, Vahid and Khosrovian, Keyvan and Pfahl, Dietmar},
  issn         = {1077-4866},
  keyword      = {GENSIM 2.0,Customization,Reuse,Simulation,Computer software reusability,Software process,Computer software selection and evaluation,Model structures,Simulators,Process design,Research},
  language     = {eng},
  pages        = {165--180},
  publisher    = {ARRAY(0xceb4bb8)},
  series       = {Software Process: Improvement and Practice},
  title        = {A customizable pattern-based software process simulation model: design, calibration and application},
  url          = {http://dx.doi.org/10.1002/spip.411},
  volume       = {14},
  year         = {2009},
}