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Modeling Software Evolution with Game Theory

  • Conference paper
Trustworthy Software Development Processes (ICSP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5543))

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Abstract

A wrong design decision at any point in the software lifecycle can lead to cost overruns and competitive disadvantage. We describe how lightweight game theory can help software engineering teams plan for future design and maintenance decisions. To demonstrate our approach, we model the real-world evolution of java.util.Calendar using our lightweight Basic Software Evolution Game. The game expressively models both what actually happened as well as circumstances when alternate design decisions would be optimal.

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Author information

Authors and Affiliations

  1. UM Institute for Advanced Computing Studies (UMIACS), University of Maryland, College Park, MD, 20742, USA

    Vibha Sazawal & Nikita Sudan

Authors
  1. Vibha Sazawal
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  2. Nikita Sudan
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Editor information

Editors and Affiliations

  1. Institute of Software, Chinese Academy of Sciences, No.4 South Fourth Street, Zhong Guan Cun, 100190, Beijing, China

    Qing Wang

  2. Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada

    Vahid Garousi

  3. Department of Systems Engineering, Naval Postgraduate School, Bullard Hall, Room 201J, 777 Dyer Road, CA 93943, Monterey, USA

    Raymond Madachy

  4. Simula Research Laboratory, P.O.Box 134, 1325, Lysaker, Norway

    Dietmar Pfahl

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© 2009 Springer-Verlag Berlin Heidelberg

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Cite this paper

Sazawal, V., Sudan, N. (2009). Modeling Software Evolution with Game Theory. In: Wang, Q., Garousi, V., Madachy, R., Pfahl, D. (eds) Trustworthy Software Development Processes. ICSP 2009. Lecture Notes in Computer Science, vol 5543. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01680-6_32

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  • DOI: https://doi.org/10.1007/978-3-642-01680-6_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01679-0

  • Online ISBN: 978-3-642-01680-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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