Deriving Integrated Multi-Viewpoint Modeling Languages from Heterogeneous Modeling...
summary
Claims a practical recipe for building multi-viewpoint language families by combining grammar-level composition techniques (inheritance, conservative extension, embedding, aggregation) using MontiCore tooling; demonstrates two real families: MontyThings and ASSIST with 46 grammars and reuse of ~4,000 lines of grammar code, embedded SE unit types, MontiAR reuse, natural-language task/context DSLs, generated C++ and web apps, and modelization for lifecycle support. Results show the approach is usable in IoT and assistive-system projects and that embedding vs aggregation choice depends on artifact integration needs.
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chapters (13)
- 0:00Introduction
- 2:06MontiCore composition techniques
- 5:37Language composition mechanisms
- 9:11MontiThings and ASSIST
- 12:59Six DSL composition scenarios
- 17:56MontiThings case study
- 19:20ASSIST case study
- 21:25Choosing composition techniques
- 22:29Q&A
- 22:49Feature diagrams and language evolution
- 25:21Reusable language components
- 27:28Grammar vs metamodel composition
- 28:35Future research
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