Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Toward Agent-Supported and Agent-Monitored Model-Driven Simulation Engineering Read chapter Read first chapter

2015 | OriginalPaper | Chapter

9. Quality Indicators Throughout the Modeling and Simulation Life Cycle

Author : Osman Balci

Published in: Concepts and Methodologies for Modeling and Simulation

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Different types of large-scale and complex modeling and simulation (M&S) applications are used in dozens of disciplines under diverse objectives such as acquisition, problem solving (analysis), education, entertainment, research, and training. Assessment of the quality of such M&S applications requires multifaceted knowledge and experience, and poses substantial technical and managerial challenges for researchers, practitioners, and engineers. The challenges can only be met by following a structured quality-centered approach throughout the entire M&S life cycle. This chapter presents dozens of quality indicators throughout the entire M&S life cycle. These quality indicators can be adopted to achieve success in a large-scale and complex M&S project.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Using Discrete-Event Cell-Based Multimodels for the Simulation of Evacuation Processes
next chapter Verification, Validation, and Replication Methods for Agent-Based Modeling and Simulation: Lessons Learned the Hard Way!
Literature
Balci O (1998) Chapter 10. Verification, validation, and testing. In: Banks J (ed) The handbook of simulation. Wiley, New York, pp 335–393CrossRef
Balci O (2003) Verification, validation, and certification of modeling and simulation applications. In: Proceedings of the 2003 Winter Simulation Conference (New Orleans, LA, Dec. 7–10). IEEE, Piscataway, pp 150–158
Balci O (2004) Quality assessment, verification, and validation of modeling and simulation applications. In: Proceedings of the 2004 Winter Simulation Conference (Washington, DC, Dec. 5–8). IEEE, Piscataway, pp 122–129
Balci O (2012) A life cycle for modeling and simulation. Simulation Trans Soc Model Simul Int 88(7):870–883CrossRef
Balci O, Ormsby WF (2008) Network-centric military system architecture assessment methodology. Int J Syst Syst Eng 1(1–2):271–292CrossRef
Balci O, Sargent RG (1981) A methodology for cost-risk analysis in the statistical validation of simulation models. Commun ACM 24(4):190–197CrossRefMathSciNet
Balci O, Nance RE, Arthur JD, Ormsby WF (2002) Expanding our horizons in verification, validation, and accreditation research and practice. In: Proceedings of the 2002 Winter Simulation Conference (San Diego, CA, Dec. 8–11). IEEE, Piscataway, pp 653–663
Balci O, Arthur JD, Ormsby WF (2011) Achieving reusability and composability with a simulation conceptual model. J Simul 5(3):157–165CrossRef
IEEE (2000) IEEE standard for modeling and simulation (M&S) high level architecture (HLA) – framework and rules, IEEE Standard No. 1516–2000. IEEE, Piscataway
Ören TI (1981) Concepts and criteria to assess acceptability of simulation studies: a frame of reference. Commun ACM 24(4):180–189CrossRef
Pressman RS (2010) Software engineering: a practitioner’s approach, 7th edn. McGraw-Hill, New York
Sommerville I (2011) Software engineering, 9th edn. Addison-Wesley, Reading
Metadata
Title
Quality Indicators Throughout the Modeling and Simulation Life Cycle
Author
Osman Balci
Copyright Year
2015
Book
Concepts and Methodologies for Modeling and Simulation

Print ISBN: 978-3-319-15095-6

Electronic ISBN: 978-3-319-15096-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-15096-3_9

Premium Partner

    Image Credits