Watch what I do: programming by demonstration
Watch what I do: programming by demonstration
Regular Grammatical Inference from Positive and Negative Samples by Genetic Search: the GIG Method
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
Bayesian grammar induction for language modeling
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Domain-Specific Modeling
Query-by-example: the invocation and definition of tables and forms
VLDB '75 Proceedings of the 1st International Conference on Very Large Data Bases
Grammatical inference by Hill Climbing
Information Sciences: an International Journal
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Domain-Specific Modeling Languages (DSMLs) have been widely used in several domains (e.g., finance, combat simulation, and image manipulation) because they aid to improve productivity and quality by reducing the gap between domain abstractions and computational expression within specific domains. However, DSMLs are developed when they are absolutely necessary because DSMLs engineered by iterating complex and mundane language creation tasks and DSML development requires domain knowledge and language development expertise. To tackle the challenges of DSML development, this poster abstract outlines a new approach for specifying and generating the abstract and concrete syntax of a DSML based on user demonstration. The goal of the proposed research is to develop the underlying science and tool support to enable end-users to assist in designing a DSML for their domain, while minimizing the typical mundane tasks of DSML development involving many accidental complexities.