MODELS 2018 - 2018 ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems
Topics/Call fo Papers
MODELS 2018 seeks submissions on diverse topics related to modeling for software and systems engineering, including, but not limited to:
Evidence-based education research for curricular concerns on modeling topics.
Collaborative modeling research to address global and team management issues (e.g., browser-based and cloud-enabled collaboration research and tools).
New paradigms, formalisms, applications, approaches, frameworks, or processes for model-driven engineering.
Modeling with, and for, new and emerging systems and paradigms such as cyber-security, cyber-physical systems, cloud computing, data analytics, big data, systems engineering, social media, devices and services, mobile applications, open source software, sustainability and modeling for social good.
Development, use, and evolution of domain-specific modeling languages.
Evaluation and comparison of modeling languages, techniques and tools.
Evolution of general-purpose modeling languages and related standards.
Definition of the syntax and semantics of modeling and model transformation languages.
Tools, meta-tools and language workbenches for model-driven engineering, including model management aspects.
Definition, usage, and analysis of generative and reengineering approaches.
Integration of modeling languages and tools (hybrid multi-modeling approaches).
Quality assurance (analysis, testing, verification) for functional and nonfunctional properties of models and model transformations.
Development of systems engineering and modeling-in-the-large concepts.
Modeling in software engineering; applications of models to address general software engineering challenges.
Modeling for development challenges such as collaboration, scalability, security, interoperability, adaptability, maintainability, dependability, reuse, energy efficiency,…
Evidence-based education research for curricular concerns on modeling topics.
Collaborative modeling research to address global and team management issues (e.g., browser-based and cloud-enabled collaboration research and tools).
New paradigms, formalisms, applications, approaches, frameworks, or processes for model-driven engineering.
Modeling with, and for, new and emerging systems and paradigms such as cyber-security, cyber-physical systems, cloud computing, data analytics, big data, systems engineering, social media, devices and services, mobile applications, open source software, sustainability and modeling for social good.
Development, use, and evolution of domain-specific modeling languages.
Evaluation and comparison of modeling languages, techniques and tools.
Evolution of general-purpose modeling languages and related standards.
Definition of the syntax and semantics of modeling and model transformation languages.
Tools, meta-tools and language workbenches for model-driven engineering, including model management aspects.
Definition, usage, and analysis of generative and reengineering approaches.
Integration of modeling languages and tools (hybrid multi-modeling approaches).
Quality assurance (analysis, testing, verification) for functional and nonfunctional properties of models and model transformations.
Development of systems engineering and modeling-in-the-large concepts.
Modeling in software engineering; applications of models to address general software engineering challenges.
Modeling for development challenges such as collaboration, scalability, security, interoperability, adaptability, maintainability, dependability, reuse, energy efficiency,…
Other CFPs
Last modified: 2017-04-02 13:50:34