Abstract
Modeling tools and frameworks have improved drastically in the last decade due to the maturation of metamodeling concepts and techniques (Brarnbilla et al., 2017). A concern which did not yet receive enough attention is the temporal aspect of metamodels and corresponding models when it comes to to model valid time and transaction time dimensions instead of just arbitrary user-defined times (Gregersen, Jensen, 1999).
lndeed, existing modeling tools provide direct access to the most current version of a model, but very limited support to inspect the model state at specific past time periods (Bill et al., 2018; Benelallam et al., 2017). This typically requires looking for a model version stored in some kind ofmodel repository roughly corresponding to that time period and using it to manually retrieve the required data. This approximate answer is not enough in scenarios that require a more precise and immediate response to temporal queries like complex collaborative co-engineering processes or runtime models (Mazak, Wimmer, 2016).
| Original language | English |
|---|---|
| Title of host publication | XXXVIIème Congrès INFORSID, Paris, France, June 11-14, 2019 |
| Pages | 305-307 |
| Number of pages | 3 |
| Publication status | Published - Jun 2019 |
Fields of science
- 202005 Computer architecture
- 202017 Embedded systems
- 102 Computer Sciences
- 102002 Augmented reality
- 102006 Computer supported cooperative work (CSCW)
- 102015 Information systems
- 102020 Medical informatics
- 102022 Software development
- 102034 Cyber-physical systems
- 201132 Computational engineering
- 201305 Traffic engineering
- 207409 Navigation systems
- 502032 Quality management
- 502050 Business informatics
JKU Focus areas
- Digital Transformation