Automated Extraction of Grammar Optimization Rule Configurations for Metamodel-Grammar Co-evolution
Explore an innovative approach to automating the extraction of grammar optimization rule configurations for metamodel-grammar co-evolution in this 24-minute conference talk from SLE 2023. Learn how researchers from Chalmers University, University of Gothenburg, University of Rostock, and Radboud University Nijmegen address the challenge of maintaining consistency between evolving languages, meta-models, and grammars. Discover how their method significantly reduces manual effort in the co-evolution process by automatically inferring and replaying optimization configurations. Examine the evaluation results from six real-world cases, showcasing the potential for full automation and high agreement rates between ground truth and inferred grammars. Gain insights into the future of language evolution and grammar optimization techniques in software engineering.