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Model Repair with Quality-Based Reinforcement Learning
2020
Journal of Object Technology
Domain modeling is a core activity in Model-Driven Engineering, and these models must be correct. A large number of artifacts may be constructed on top of these domain models, such as instance models, transformations, and editors. Similar to any other software artifact, domain models are subject to the introduction of errors during the modeling process. There are a number of existing tools that reduce the burden of manually dealing with correctness issues in models. Although various approaches
doi:10.5381/jot.2020.19.2.a17
fatcat:tato65snznaqfhyoebreokpgaq