IMMoS - a methodology for integrated measurement, modelling, and simulation
(2002) In Software Process: Improvement and Practice 7(3/4). p.189-210- Abstract
- One reason for the relatively small number of real-world applications of simulation in software engineering is the existing lack of guidance in creating and formulating the related models and in the isolated usage of associated techniques. In order to support both strategic and project management in software organizations, a methodology for integrated measurement, modelling and simulation (IMMoS) was developed and validated. The hybrid approach integrates the individual strengths of its inherent methodological elements and concepts. The core element of IMMoS is the simulation modelling method system dynamics (SD), which integrates quantitative dynamic models with quantitative and qualitative static models in a natural way. The novelty of... (More)
- One reason for the relatively small number of real-world applications of simulation in software engineering is the existing lack of guidance in creating and formulating the related models and in the isolated usage of associated techniques. In order to support both strategic and project management in software organizations, a methodology for integrated measurement, modelling and simulation (IMMoS) was developed and validated. The hybrid approach integrates the individual strengths of its inherent methodological elements and concepts. The core element of IMMoS is the simulation modelling method system dynamics (SD), which integrates quantitative dynamic models with quantitative and qualitative static models in a natural way. The novelty of IMMoS is twofold. First, it enhances existing guidance for SD modelling by adding a component that enforces goal-orientation, and by providing a refined process model with detailed description of activities, entry/exit criteria, input/output products, and roles involved. Secondly, it describes how to combine SD modelling with goal-oriented measurement and descriptive process modelling, thus improving efficiency and smoothly closing the gap to established methods in empirical software engineering. IMMoS has been initially evaluated. The effectiveness and efficiency of IMMoS is supported with empirical evidence from two industrial case studies and one controlled experiment. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1667511
- author
- Pfahl, Dietmar LU and Ruhe, Günther
- publishing date
- 2002
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- goal-oriented measurement, IMMoS, process simulation, software engineering, process modelling, system dynamics
- in
- Software Process: Improvement and Practice
- volume
- 7
- issue
- 3/4
- pages
- 189 - 210
- publisher
- John Wiley & Sons Inc.
- ISSN
- 1077-4866
- DOI
- 10.1002/spip.164
- language
- English
- LU publication?
- no
- id
- fd8fbfe4-2d34-444e-8716-1149f34eba83 (old id 1667511)
- date added to LUP
- 2016-04-04 09:18:17
- date last changed
- 2018-11-21 20:52:11
@article{fd8fbfe4-2d34-444e-8716-1149f34eba83,
abstract = {{One reason for the relatively small number of real-world applications of simulation in software engineering is the existing lack of guidance in creating and formulating the related models and in the isolated usage of associated techniques. In order to support both strategic and project management in software organizations, a methodology for integrated measurement, modelling and simulation (IMMoS) was developed and validated. The hybrid approach integrates the individual strengths of its inherent methodological elements and concepts. The core element of IMMoS is the simulation modelling method system dynamics (SD), which integrates quantitative dynamic models with quantitative and qualitative static models in a natural way. The novelty of IMMoS is twofold. First, it enhances existing guidance for SD modelling by adding a component that enforces goal-orientation, and by providing a refined process model with detailed description of activities, entry/exit criteria, input/output products, and roles involved. Secondly, it describes how to combine SD modelling with goal-oriented measurement and descriptive process modelling, thus improving efficiency and smoothly closing the gap to established methods in empirical software engineering. IMMoS has been initially evaluated. The effectiveness and efficiency of IMMoS is supported with empirical evidence from two industrial case studies and one controlled experiment.}},
author = {{Pfahl, Dietmar and Ruhe, Günther}},
issn = {{1077-4866}},
keywords = {{goal-oriented measurement; IMMoS; process simulation; software engineering; process modelling; system dynamics}},
language = {{eng}},
number = {{3/4}},
pages = {{189--210}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Software Process: Improvement and Practice}},
title = {{IMMoS - a methodology for integrated measurement, modelling, and simulation}},
url = {{http://dx.doi.org/10.1002/spip.164}},
doi = {{10.1002/spip.164}},
volume = {{7}},
year = {{2002}},
}