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Model-driven generative development of measurement software

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Abstract

Metrics offer a practical approach to evaluate properties of domain-specific models. However, it is costly to develop and maintain measurement software for each domain-specific modeling language. In this paper, we present a model-driven and generative approach to measuring models. The approach is completely domain-independent and operationalized through a prototype that synthesizes a measurement infrastructure for a domain-specific modeling language. This model-driven measurement approach is model-driven from two viewpoints: (1) it measures models of a domain-specific modeling language; (2) it uses models as unique and consistent metric specifications, with respect to a metric specification metamodel which captures all the necessary concepts for model-driven specifications of metrics. The benefit from applying the approach is evaluated by four case studies. They indicate that this approach significantly eases the measurement activities of model-driven development processes.

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Authors and Affiliations

  1. Technische Uniersität Darmstadt, Darmstadt, Germany

    Martin Monperrus

  2. University of Rennes, Rennes, France

    Jean-Marc Jézéquel

  3. INRIA, Rennes, France

    Jean-Marc Jézéquel & Benoit Baudry

  4. ENSIETA, Brest, France

    Joël Champeau & Brigitte Hoeltzener

Authors
  1. Martin Monperrus
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  2. Jean-Marc Jézéquel
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  3. Benoit Baudry
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  4. Joël Champeau
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  5. Brigitte Hoeltzener
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Correspondence to Martin Monperrus.

Additional information

Communicated by Prof. Antonio Vallecillo.

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Monperrus, M., Jézéquel, JM., Baudry, B. et al. Model-driven generative development of measurement software. Softw Syst Model 10, 537–552 (2011). https://doi.org/10.1007/s10270-010-0165-9

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