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Simulation

A Methodology to Evaluate Recommendation Systems in Software Engineering

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Recommendation Systems in Software Engineering

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Abstract

Scientists and engineers have long used simulation as a technique for exploring and evaluating complex systems. Direct interaction with a real, complex system requires that the system be already constructed and operational, that people be trained in its use, and that its dangers already be known and mitigated. Simulation can avoid these issues, reducing costs, reducing risks, and allowing an imagined system to be studied before it is created. The explorations supported by simulation serve two purposes in the realm of evaluation: to determine whether and where undesired behavior will arise and to predict the outcomes of interactions with the real system. This chapter examines the use of simulation to evaluate recommendation systems in software engineering (RSSEs). We provide a general model of simulation for evaluation and review a small set of examples to examine how the model has been applied in practice. From these examples, we extract some general strengths and weaknesses of the use of simulation to evaluate RSSEs. We also explore prospects for making more extensive use of simulation in the future.

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Authors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Robert J. Walker

  2. David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada

    Reid Holmes

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  1. Robert J. Walker
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  2. Reid Holmes
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Correspondence to Robert J. Walker .

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Editors and Affiliations

  1. McGill University, Montréal, Québec, Canada

    Martin P. Robillard

  2. University of Hamburg, Hamburg, Germany

    Walid Maalej

  3. University of Calgary, Calgary, Alberta, Canada

    Robert J. Walker

  4. Microsoft Research, Redmond, Washington, USA

    Thomas Zimmermann

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Walker, R.J., Holmes, R. (2014). Simulation. In: Robillard, M., Maalej, W., Walker, R., Zimmermann, T. (eds) Recommendation Systems in Software Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45135-5_12

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  • DOI: https://doi.org/10.1007/978-3-642-45135-5_12

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