Skip to Main content Skip to Navigation
Conference papers

Execution-Based Model Profiling

Abstract : In model-driven engineering (MDE), models are mostly used in prescriptive ways for system engineering. While prescriptive models are indeed an important ingredient to realize a system, for later phases in the systems’ lifecycles additional model types are beneficial to use. Unfortunately, current MDE approaches mostly neglect the information upstream in terms of descriptive models from operations to (re)design phases. To tackle this limitation, we propose execution-based model profiling as a continuous process to improve prescriptive models at design-time through runtime information. This approach incorporates knowledge in terms of model profiles from execution logs of the running system. To accomplish this, we combine techniques of process mining with runtime models of MDE. In the course of a case study, we make use of a traffic light system example to demonstrate the feasibility and benefits of the introduced execution-based model profiling approach.
Document type :
Conference papers
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Wednesday, April 18, 2018 - 1:01:27 PM
Last modification on : Wednesday, November 3, 2021 - 4:18:49 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Alexandra Mazak, Manuel Wimmer, Polina Patsuk-Bösch. Execution-Based Model Profiling. 6th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Dec 2016, Graz, Austria. pp.37-52, ⟨10.1007/978-3-319-74161-1_3⟩. ⟨hal-01769757⟩



Record views


Files downloads