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Integration of system dynamics modelling with descriptive process modelling and goal-oriented measurement

Pfahl, Dietmar LU and Lebsanft, Karl (1999) In Journal of Systems and Software 46(2/3). p.135-150
Abstract
One of the obstacles that seem to impede a more frequent application of the modelling and simulation approach system dynamics (SD) in the software engineering community is the lack of well-defined and repeatable procedures for generating or using information that (a) stems from real industrial software development practice and (b) is suitable for SD model building. This problem can be resolved, at least partially, by combining SD modelling with already existing and commonly used static modelling methods, namely software process modelling and measurement-based quantitative modelling. To illustrate the feasibility of such a combination, in this paper, an approach is proposed that complements SD modelling with descriptive process modelling... (More)
One of the obstacles that seem to impede a more frequent application of the modelling and simulation approach system dynamics (SD) in the software engineering community is the lack of well-defined and repeatable procedures for generating or using information that (a) stems from real industrial software development practice and (b) is suitable for SD model building. This problem can be resolved, at least partially, by combining SD modelling with already existing and commonly used static modelling methods, namely software process modelling and measurement-based quantitative modelling. To illustrate the feasibility of such a combination, in this paper, an approach is proposed that complements SD modelling with descriptive process modelling and goal-oriented measurement performed according to the principles of the well-established goal/question/metric (GQM) paradigm. The new approach is called integrated measurement, modelling and simulation (IMMoS). It originates in lessons learnt from an extensive industrial SD modelling activity. (C) 1999 Elsevier Science Inc. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
software
in
Journal of Systems and Software
volume
46
issue
2/3
pages
135 - 150
publisher
Elsevier
external identifiers
  • Scopus:0032686425
ISSN
0164-1212
DOI
10.1016/S0164-1212(99)00007-2
language
English
LU publication?
no
id
ec47cd15-eec3-46c2-be35-98fce48f2d37 (old id 1662058)
date added to LUP
2010-08-30 11:40:35
date last changed
2017-01-08 05:30:56
@article{ec47cd15-eec3-46c2-be35-98fce48f2d37,
  abstract     = {One of the obstacles that seem to impede a more frequent application of the modelling and simulation approach system dynamics (SD) in the software engineering community is the lack of well-defined and repeatable procedures for generating or using information that (a) stems from real industrial software development practice and (b) is suitable for SD model building. This problem can be resolved, at least partially, by combining SD modelling with already existing and commonly used static modelling methods, namely software process modelling and measurement-based quantitative modelling. To illustrate the feasibility of such a combination, in this paper, an approach is proposed that complements SD modelling with descriptive process modelling and goal-oriented measurement performed according to the principles of the well-established goal/question/metric (GQM) paradigm. The new approach is called integrated measurement, modelling and simulation (IMMoS). It originates in lessons learnt from an extensive industrial SD modelling activity. (C) 1999 Elsevier Science Inc. All rights reserved.},
  author       = {Pfahl, Dietmar and Lebsanft, Karl},
  issn         = {0164-1212},
  keyword      = {software},
  language     = {eng},
  number       = {2/3},
  pages        = {135--150},
  publisher    = {Elsevier},
  series       = {Journal of Systems and Software},
  title        = {Integration of system dynamics modelling with descriptive process modelling and goal-oriented measurement},
  url          = {http://dx.doi.org/10.1016/S0164-1212(99)00007-2},
  volume       = {46},
  year         = {1999},
}