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El. knyga: Model-Driven Engineering and Software Development: 9th International Conference, MODELSWARD 2021, Virtual Event, February 8-10, 2021, and 10th International Conference, MODELSWARD 2022, Virtual Event, February 6-8, 2022, Revised Selected Papers

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Model-Driven Engineering and Software Development: 9th International Conference, MODELSWARD 2021, Virtual Event, February 8-10, 2021, and 10th International Conference, MODELSWARD 2022, Virtual Event, February 6-8, 2022, Revised Selected PapersDidesnis paveikslėlis
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This book constitutes the refereed post-proceedings of the 9th International Conference and 10th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2021 and MODELSWARD 2022, was held virtually due to the COVID-19 crisis on February 8–10, 2021 and February 6–8, 2022.

The 11 full papers included in this book were carefully reviewed and selected from 121 submissions. The purpose of the International Conference on model-driven engineering and software development is to provide a platform for researchers, engineers, academics as well as industrial professionals from all over the world to present their research results and development activities in using models and model driven engineering techniques for system development.
A Digital Twin Description Framework and its Mapping to
Asset Administration Shell.- Acknowledging Implementation Trade-offs when
Developing with Units of Measurement.- HERO vs Zombie: Destroying Zombie
Guests in Virtual Machine Environments.- Multi-view FMEA Re-Validation:
Efficient Risk and Engineering Knowledge Integration in Agile Production
Systems Engineering.- PSCS4CPP: A Generative PSCS Implementation for
C++.- Dependency Graphs to Boost the Verification of SysML
Models.- Decomposable and Executable Models for Verification of
Real-Time Systems.- Comparing Goal-oriented Analysis Techniques: A Controlled
Experiment.- A Methodological Framework for SPL Engineering from
DSML.- W-Sec: a Model-based Formal Method for Assessing the Impacts
of Security Countermeasures.- Managing Schema Migration in NoSQL Databases:
Advisor Heuristics vs. Self-adaptive Schema Migration Strategies.
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