Automated Extraction of Grammar Optimization Rule Configurations for Metamodel-Grammar Co-evolution-Reference-Cited by-同舟云学术

Automated Extraction of Grammar Optimization Rule Configurations for Metamodel-Grammar Co-evolution

Published:2023-10-23 Issue: Volume: Page:
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Container-title:Proceedings of the 16th ACM SIGPLAN International Conference on Software Language Engineering
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Author:

Zhang Weixing¹,Hebig Regina²,Strüber Daniel³,Steghöfer Jan-Philipp⁴

Affiliation:

1. Chalmers, Gothenburg, Sweden / University of Gothenburg, Gothenburg, Sweden

2. University of Rostock, Rostock, Germany

3. Chalmers, Gothenburg, Sweden / University of Gothenburg, Gothenburg, Sweden / Radboud University Nijmegen, Nijmegen, Netherlands

4. Xitaso IT and Software Solutions, Augsburg, Germany

Publisher

ACM

Reference58 articles.

1. Hugo Bruneliere , Jokin Garcia , Philippe Desfray , Djamel Eddine Khelladi , Regina Hebig, Reda Bendraou, and Jordi Cabot. 2015 . On lightweight metamodel extension to support modeling tools agility. In ECMFA. 62–74. Hugo Bruneliere, Jokin Garcia, Philippe Desfray, Djamel Eddine Khelladi, Regina Hebig, Reda Bendraou, and Jordi Cabot. 2015. On lightweight metamodel extension to support modeling tools agility. In ECMFA. 62–74.

2. A generic LSTM neural network architecture to infer heterogeneous model transformations

3. Managing Dependent Changes in Coupled Evolution

4. Extracting grammar from programs

5. Blended modeling in commercial and open-source model-driven software engineering tools: A systematic study

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