International Journal on Software and Systems Modeling (SoSyM) (ISSN: 1619-1366)

Description

Software and Systems Modeling (SoSyM) is a quarterly international journal (published in English) that focuses on theoretical and practical issues pertaining to the development and application of software and system modeling languages and techniques. The aim of the journal is to publish high-quality works that further understanding of the theoretical underpinnings of modeling languages and techniques, present rigorous analyses of modeling experiences, and introduce scalable modeling techniques and processes that facilitate rigorous, efficient or economical development of software.
The journal is unique in its emphasis on theoretical foundations of modeling languages and techniques, and on rigorous analyses of "real-world" modeling experiences. The balance of theoretical works and works based on in-depth analyses of experiences offers insights to researchers that can inform future investigations into better modeling languages and techniques, and provides modeling practitioners with a deeper understanding of modeling languages and techniques that can lead to more effective application.
The journal targets researchers, practitioners and students who have a vested interest in results generated by high-quality modeling research and by rigorously analyzed modeling experiences. We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns:
Domain-specific models and modeling standards
Model-based testing techniques
Model-based simulation techniques
Formal syntax and semantics of modeling languages such as the UML
Rigorous model-based analysis
Model composition, refinement and transformation
Software Language Engineering
Modeling Languages in Science and Engineering
Language Adaptation and Composition
Metamodeling techniques
Measuring quality of models and languages
Ontological approaches to model engineering
Generating test and code artifacts from models
Model synthesis
Methodology
Model development tool environments
Modeling Cyberphysical Systems
Data intensive modeling
Derivation of explicit models from data
Case studies and experience reports with significant modeling lessons learned
Comparative analyses of modeling languages and techniques
Scientific assessment of modeling practices