Automated analyses of model-driven artifacts: obtaining insights into industrial application of MDE

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Abstract

Over the past years, there has been an increase in the application of model driven engineering in industry. Similar to traditional software engineering, understanding how technologies are actually used in practice is essential for developing good tooling, and decision making processes. Unfortunately, obtaining and analyzing empirical data in a model-driven context is still tedious and time consuming, introducing large lead-times. In this paper we present a framework for the automated extraction, analysis, and visualization of data and metrics on model-driven artifacts. We subsequently present various examples of how the framework was successfully applied in a large industrial setting to answer a plethora of different questions with respect to decision making and tool development.

Original languageEnglish
Title of host publicationProceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement
Subtitle of host publicationMeasurement for Future Software Industry: Driving Value Creation, IWSM Mensura 2017
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages116-121
Number of pages6
ISBN (Electronic)978-1-4503-4853-9
DOIs
Publication statusPublished - 25 Oct 2017
Event27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement, IWSM Mensura 2017 - Gothenburg, Sweden
Duration: 25 Oct 201727 Oct 2017

Conference

Conference27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement, IWSM Mensura 2017
CountrySweden
CityGothenburg
Period25/10/1727/10/17

Keywords

  • Metrics
  • Mining Software Repositories
  • Model Comparison
  • Model Driven Engineering
  • Software Evolution

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  • Cite this

    Mengerink, J. G. M., Serebrenik, A., Schiffelers, R. R. H., & van den Brand, M. G. J. (2017). Automated analyses of model-driven artifacts: obtaining insights into industrial application of MDE. In Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement: Measurement for Future Software Industry: Driving Value Creation, IWSM Mensura 2017 (pp. 116-121). Association for Computing Machinery, Inc. https://doi.org/10.1145/3143434.3143442