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Model repair and transformation with Echo
2013
2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE)
Models are paramount in model-driven engineering. In a software project many models may coexist, capturing different views of the system or different levels of abstraction. A key and arduous task in this development method is to keep all such models consistent, both with their meta-models (and the respective constraints) and among themselves. This paper describes Echo, a tool that aims at simplifying this task by automating inconsistency detection and repair using a solver based engine.
doi:10.1109/ase.2013.6693135
dblp:conf/kbse/MacedoGC13
fatcat:s4qcl4de7rezhlnwlazaykhyj4