A life cycle for modeling and simulation
Abstract
Conducting large-scale complex modeling and simulation (M&S) projects continues to pose significant challenges for M&S engineers, project managers, and sponsoring organizations. This paper presents a M&S life cycle to alleviate the challenges. The M&S life cycle describes a framework for organization of the processes, work products, quality assurance activities, and project management activities required to develop, use, maintain, and reuse a M&S application from birth to retirement. It provides guidance to a M&S developer (engineer), manager, organization, and community of interest. The M&S life cycle specifies the work products to be created by executing the corresponding processes, together with the integrated verification, validation, and quality assurance activities. The M&S life cycle is critically needed to modularize and structure a M&S application development, and to provide valuable guidance for conducting a M&S project successfully.
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Each entity and activity in the final set has already been mentioned for provenance, modeling or documentation purposes, or experiment design of simulation studies, but they have not all been used together.
“Each entity and activity has already been mentioned for provenance, modeling or documentation purposes, or experiment design of simulation studies [1, 3–5, 8, 20, 21, 60–63], but they have not all been used together.”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [1]
For simulation studies, the research question typically forms the starting point of the modeling and simulation life cycle and is key to interpreting its outputs such as simulation data or a simulation model.
“For simulation studies, it typically forms the starting point of the modeling and simulation life cycle [1, 67] and is key to interpreting its outputs such as simulation data or a simulation model.”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [1]
Taking knowledge of modeling and simulation life cycles into account, the paper identified the Research Question, Assumptions, Requirements, and the Qualitative Model as important ingredients of the provenance of simulation models.
“Additionally, we have taken knowledge of modeling and simulation life cycles [1] into account and identified the Research Question, Assumptions, Requirements, the Qualitative Model to be important ingredients of the provenance of simulation models.”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [1]
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References 21 · Cited by 159
- Authors
- Balci, O.
- Affiliations
- Department of Computer Science, Virginia Polytechnic Institute and State University (Virginia Tech), USA
- Venue
- SIMULATION
- Publisher
- SAGE Publications
- Published
- 2012-02-24
- Volume
- 88
- Issue
- 7
- Pages
- 870-883
- ISSN
- 0037-5497 (ISSN-L)
- 1741-3133
- OpenAlex
- W1983649960
- Cited by
- 159
- References
- 21
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 15 · 2023: 31 · 2022: 8 · 2021: 8 · 2020: 13 · 2019: 12 · 2018: 9 · 2017: 13 · 2016: 5 · 2015: 16 · 2014: 4 · 2013: 4 · 2012: 3
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- SIMULATION (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Modeling and Simulation Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
- Keywords
- work products, quality assurance, verification and validation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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