Model-driven generative development of measurement software

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 co...

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Bibliographic Details
Published in:Software and systems modeling 2011-10, Vol.10 (4), p.537-552
Main Authors: Monperrus, Martin, Jézéquel, Jean-Marc, Baudry, Benoit, Champeau, Joël, Hoeltzener, Brigitte
Format: Article
Language:English
Subjects:
Compilers
Computer programs
Computer Science
Information Systems Applications (incl.Internet)
Infrastructure
Interpreters
IT in Business
Metamodels
Programming Languages
Programming Techniques
Prototypes
Regular Paper
Software
Software Engineering
Software Engineering/Programming and Operating Systems
Specifications
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Summary: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.
ISSN:1619-1366
1619-1374
DOI:10.1007/s10270-010-0165-9