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| Content Provider | Springer Nature Link |
|---|---|
| Author | Monperrus, Martin Jézéquel, Jean Marc Baudry, Beit Champeau, Joël Hoeltzener, Brigitte |
| Copyright Year | 2010 |
| 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. |
| Starting Page | 537 |
| Ending Page | 552 |
| Page Count | 16 |
| File Format | |
| ISSN | 16191366 |
| Journal | Software and Systems Modeling |
| Volume Number | 10 |
| Issue Number | 4 |
| e-ISSN | 16191374 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2010-06-13 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Information Systems Applications (incl. Internet) Business Information Systems Software Engineering/Programming and Operating Systems Programming Languages, Compilers, Interpreters Programming Techniques Software Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Modeling and Simulation Software |
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