Model-Centered Software and System Development

There are many different notions of models in different areas of science that are often not aligned, making it difficult to discuss them across disciplines. In this study, we look at the differences between physical models and mental models as well as the difference between static and dynamic models. Semiotics provides a philosophical underpinning by explaining meaning-making. This allows for identifying a common ground between models in different areas. We use examples from natural sciences and linguistics to illustrate different approaches and concepts and to find commonalities. This study distinguishes between systems, models, and descriptions of models. This distinction allows us to understand the commonalities of mental and physical models in different areas.

2,784 views

2 citations

Mini Review

04 August 2023

A survey on the model-centered approaches to conceptual modeling of IoT systems

Sofia Kohan

, 1 more and

Deniz Cetinkaya

1,486 views

0 citations

Original Research

27 January 2023

Conceptual data systems architecture principles for information systems

Tomas Jonsson

Information systems alignment with enterprise evolution affects the performance of enterprises. The systems conceptual and data quality, development time and sustainable life cycle management, are issues for enterprise competitiveness. The ability to directly generate enterprise information systems from models has been thought of as a solution to improve on these issues. Model-driven systems have been a research topic for decades. Fundamental principles for a proven model-driven information systems architecture are outlined in this article. Architectural foundation is a separation of user communities conceptual domain from the information technical domain. The users domain is modeled as an information system model in three layers, conceptual data logic model, interface model and user community model. The technical domain is a platform, allowing the modeling and execution of such a model. These principles have been applied in practice and proven viable. Two platforms and applications, which adhere to these principles, are briefly described.

2,567 views

2 citations

Original Research

04 January 2023

Higher-order transformations for the generation of synchronization infrastructures in blended modeling

Malvina Latifaj

, 1 more and

Mattias Mohlin

Introduction: Blended modeling aims at boosting the development of complex multi-domain systems by enabling seamless multi-notation modeling. The synchronization mechanisms between notations are embodied in model transformations. Manually defining model transformations requires specific knowledge of transformation languages, and it is a time-consuming and error-prone task. Moreover, whenever any of the synchronized languages or notations evolves, those transformations become obsolete.

Methods: In this paper, we propose an automated solution for generating synchronization transformations in an industrial setting.

Results: The approach entails i) the specification of mapping rules between two arbitrary domain-specific modeling languages leveraging a mapping modeling language, appositely defined for this purpose, and ii) the automatic generation of synchronization model transformations driven by the mapping rules.

Discussion: We validated the proposed approach in two use cases. Although our main goal was to provide a solution for synchronization between graphical and textual notations of UML-RT state machines, the proposed approach is language- and notation-agnostic.

1,453 views

4 citations