SAM 2023 - The System Analysis and Modelling (SAM) conference
Topics/Call fo Papers
The System Analysis and Modelling (SAM) conference provides an arena for participants from academia and industry to present and discuss the most recent innovations, trends, experiences and concerns in modeling, specification, analysis, implementation, and monitoring of complex systems using ITU-T's Specification and Description Language (SDL‑2010) and Message Sequence Chart (MSC) notations, as well as related system design languages — including but not limited to UML, ASN.1, TTCN, SysML and the User Requirements Notation (URN).
Scope and Topics
SAM 2023 covers "System Modeling and Analysis in State-of-Practice Technologies", including languages and methods standardized by the ITU-T as well as domain-specific languages for state-of-practice domains like artificial intelligence, digital twins, no code, low code, DataOps, and metaverse. It also focusses on software engineering technologies such as requirements engineering, software verification and validation, model checking, and automated code generation. Authors are invited to submit papers related to this year’s theme including the following non-exclusive list of topics:
Evolution of languages: domain-specific languages, modular language design, semantics and evaluation, languages for artificial intelligence systems, high-level modeling languages with strong semantics to avoid and reduce coding, ModelOps to support strong interaction with IT operations and life cycle management.
Model-driven development: analysis and transformation of models, approaches to reduce or avoid coding by reuse, verification and validation of models, systematic testing based on and applied to models, automated verification by model checking, approaches to increase quality and efficiency in teams like applying peer, mob and ensemble programming processes to modeling.
System engineering models: semantics of system models, refinement of system designs into implementations, automated code generation, integration of system and software design models, non-functional aspects in system models, creation of digital twins from models and applying hardware/software-in-the-loop to model simulation.
Industrial application and tools: industrial usage reports, standardization activities, tool support and frameworks, domain-specific applicability, modeling and analysis in machine control and monitoring, model-based creation of immersive web spaces (e.g., metaverse).
The conference programme will include:
Presentations from invited speakers
Presentation of research papers
Presentation of industrial experiences
Tool demonstrations
For general questions, please send an email to sam2023-AT-easychair.org
Scope and Topics
SAM 2023 covers "System Modeling and Analysis in State-of-Practice Technologies", including languages and methods standardized by the ITU-T as well as domain-specific languages for state-of-practice domains like artificial intelligence, digital twins, no code, low code, DataOps, and metaverse. It also focusses on software engineering technologies such as requirements engineering, software verification and validation, model checking, and automated code generation. Authors are invited to submit papers related to this year’s theme including the following non-exclusive list of topics:
Evolution of languages: domain-specific languages, modular language design, semantics and evaluation, languages for artificial intelligence systems, high-level modeling languages with strong semantics to avoid and reduce coding, ModelOps to support strong interaction with IT operations and life cycle management.
Model-driven development: analysis and transformation of models, approaches to reduce or avoid coding by reuse, verification and validation of models, systematic testing based on and applied to models, automated verification by model checking, approaches to increase quality and efficiency in teams like applying peer, mob and ensemble programming processes to modeling.
System engineering models: semantics of system models, refinement of system designs into implementations, automated code generation, integration of system and software design models, non-functional aspects in system models, creation of digital twins from models and applying hardware/software-in-the-loop to model simulation.
Industrial application and tools: industrial usage reports, standardization activities, tool support and frameworks, domain-specific applicability, modeling and analysis in machine control and monitoring, model-based creation of immersive web spaces (e.g., metaverse).
The conference programme will include:
Presentations from invited speakers
Presentation of research papers
Presentation of industrial experiences
Tool demonstrations
For general questions, please send an email to sam2023-AT-easychair.org
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Last modified: 2023-05-02 22:45:17