Summary

The journal focuses on publishing high-quality works that deepen understanding of theoretical and foundational underpinnings of modeling languages, present rigorous analyses of modeling experiences, and introduce scalable modeling techniques for efficient software development and system understanding. Its scope encompasses domain-specific models, rigorous model-based testing techniques, and simulation tools that enable rigorous model composition, refinement, and transformation. The publication covers syntax and semantics of languages like UML, Metamodeling, model synthesis, and scientific assessment of modeling practices. By providing case studies with lessons learned, the journal aids in deriving explicit models from data and compares various modeling languages and techniques. The scope includes AI-assisted modeling tools, which help generate test and code artifacts from models. Finally, the journal emphasizes ontology approaches to model engineering and aims to foster rigorous development within software and cyberphysical systems using data-intensive modeling. The publication supports rigorous analysis, ensures efficient development through scalable techniques, and advances model engineering in science and engineering through rigorous analysis.

Title

SoSyM

Description

SoSyM

Keywords

modeling, germany, software, techniques, languages, journal, canada, model, university, france, systems, quality, papers, submission, theme, engineering, models

NS Lookup

A 149.201.122.164

Dates

Created 2026-04-14

Updated 2026-04-14

Summarized 2026-04-16