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56 lines
4.6 KiB
56 lines
4.6 KiB
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<title>Publications of Martin Monperrus</title>
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<link>http://localhostbib=/var/www/bibtexbrowser/test/input/metrics.bib&author=Martin+Monperrus&rss</link>
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<atom:link href="http://localhostbib=/var/www/bibtexbrowser/test/input/metrics.bib&author=Martin+Monperrus&rss" rel="self" type="application/rss+xml" />
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<description></description>
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<title>La mesure des modèles par les modèles : une approche générative</title>
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<link>http://localhost./bibtexbrowser.php?key=monperrus08phd&amp;bib=%252Fvar%252Fwww%252Fbibtexbrowser%252Ftest%252Finput%252Fmetrics.bib</link>
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<description>
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Martin Monperrus, "La mesure des modèles par les modèles : une approche générative", PhD thesis, Université de Rennes, 2008. (Advisor: JM. Jézéquel; Examiners: H. Sahraoui, S. Ducasse)
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<title>A Model-driven Measurement Approach</title>
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<link>http://localhost./bibtexbrowser.php?key=monperrus08d&amp;bib=%252Fvar%252Fwww%252Fbibtexbrowser%252Ftest%252Finput%252Fmetrics.bib</link>
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<description>
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Martin Monperrus, Jean-Marc Jézéquel, Joël Champeau, Brigitte Hoeltzener, "A Model-driven Measurement Approach", In Proceedings of the ACM/IEEE 11th International Conference on Model Driven Engineering Languages and Systems (MODELS'2008), 2008. (acceptance rate: 58/274)
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<title>Measuring Models</title>
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<link>http://localhost./bibtexbrowser.php?key=monperrus08b&amp;bib=%252Fvar%252Fwww%252Fbibtexbrowser%252Ftest%252Finput%252Fmetrics.bib</link>
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<description>
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Martin Monperrus, Jean-Marc Jézéquel, Joël Champeau, Brigitte Hoeltzener, "Measuring Models", Chapter in Model-Driven Software Development: Integrating Quality Assurance, IDEA Group, 2008.
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Model-Driven Engineering (MDE) is an approach to software development that uses models as primary artifacts, from which code, documentation and tests are derived. One way of assessing quality assurance in a given domain is to define domain metrics. As text documents, models can be considered from a syntactic point of view i.e., thought of as graphs. We can readily apply graph-based metrics to them, such as the number of nodes, the number of edges or the fan-in/fan-out distributions. However, these metrics cannot leverage the semantic structuring enforced by each specific metamodel to give domain specific information. Contrary to graph-based metrics, more specific metrics do exist for given domains (such as LOC for programs), but they lack genericity. Our contribution is to propose one metric that is generic over the domains and the metamodels and allows the easy specification of an open-ended wide range of model metrics. </description>
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<item>
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<title>Model-driven Engineering Metrics for Real Time Systems</title>
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<link>http://localhost./bibtexbrowser.php?key=monperrus08a&amp;bib=%252Fvar%252Fwww%252Fbibtexbrowser%252Ftest%252Finput%252Fmetrics.bib</link>
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<description>
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Martin Monperrus, Jean-Marc Jézéquel, Joël Champeau, Brigitte Hoeltzener, "Model-driven Engineering Metrics for Real Time Systems", In Proceedings of the 4th European Congress on Embedded Real Time Software (ERTS'2008), 2008.
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</item>
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<item>
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<title>Counts Count</title>
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<link>http://localhost./bibtexbrowser.php?key=monperrus07&amp;bib=%252Fvar%252Fwww%252Fbibtexbrowser%252Ftest%252Finput%252Fmetrics.bib</link>
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<description>
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Martin Monperrus, Joël Champeau, Brigitte Hoeltzener, "Counts Count", In Proceedings of the 2nd Workshop on Model Size Metrics (MSM'07) co-located with MODELS'2007, 2007.
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