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Conference Papers Year : 2014

Model Differencing for Textual DSLs


—The syntactic and semantic comparison of models is important for understanding and supporting their evolution. In this paper we present TMDIFF, a technique for semanti-cally comparing models that are represented as text. TMDIFF incorporates the referential structure of a language, which is determined by symbolic names and language-specific scoping rules. Furthermore, it employs a novel technique for matching entities existing in source and target versions of a model, and finds entities that are added or removed. As a result, TMDIFF is fully language parametric, and brings the benefits of model differencing to textual languages.


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hal-01110856 , version 1 (29-01-2015)


  • HAL Id : hal-01110856 , version 1


Riemer van Rozen, Tijs van Der Storm. Model Differencing for Textual DSLs. BENEVOL 2014 - Proceedings of the Belgian-Netherlands Evoluation Workshop, 2014, Amsterdam, Netherlands. ⟨hal-01110856⟩


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