Samenvatting
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.
Originele taal-2 | Engels |
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Titel | Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement |
Subtitel | Measurement for Future Software Industry: Driving Value Creation, IWSM Mensura 2017 |
Plaats van productie | New York |
Uitgeverij | Association for Computing Machinery, Inc |
Pagina's | 116-121 |
Aantal pagina's | 6 |
ISBN van elektronische versie | 978-1-4503-4853-9 |
DOI's | |
Status | Gepubliceerd - 25 okt. 2017 |
Evenement | 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement, IWSM Mensura 2017 - Gothenburg, Zweden Duur: 25 okt. 2017 → 27 okt. 2017 |
Congres
Congres | 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement, IWSM Mensura 2017 |
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Land/Regio | Zweden |
Stad | Gothenburg |
Periode | 25/10/17 → 27/10/17 |