logseq/pages/hls__Kirchhof et al. - 2022 - MontiThings Model-Driven Development and Deployme.md

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• low-level implementation details, tying the models to a particular platform and making them harder to understand ls-type:: annotation hl-page:: 1 id:: 632d5bb8-4efe-4664-812b-e2b8cbdeb9db
• error handling capabilities and a clear separation between business logic and implementation details. ls-type:: annotation hl-page:: 1 id:: 632d5bc2-0ed8-4447-881c-62a741ee30c5
• MontiThings ls-type:: annotation hl-page:: 2 id:: 632d5bdb-7ca6-4098-be7c-ee30561be904
• modeling languages for architectures of IoT applications, their deployment, and error-handling that lift the level of abstraction in IoT system engineering and separate these concerns properly ls-type:: annotation hl-page:: 2 id:: 632d5be6-10db-4a02-86ab-a98edb4c7ac1
• model-driven toolchain for the automated synthesis of executable IoT containers ls-type:: annotation hl-page:: 2 id:: 632d5bef-60a9-490d-83ca-39a70476638e
• automated deployment planning, featuring deployment suggestions, for the generated container ls-type:: annotation hl-page:: 2 id:: 632d5bf5-e7c5-4ea7-ac10-7e56470edcac
• support to suggest changes to deployment goals based on deployment planning results ls-type:: annotation hl-page:: 2 id:: 632d5c00-d05d-4426-a830-c114da7b372e
• MontiArc (Butting et al., 2017a; Haber et al., 2012) is an ADL, for the MDE of cyber–physical systems ls-type:: annotation hl-page:: 3 id:: 632d5c1f-a6c0-4b5b-a5ba-db473630ae4d