In the authors\u27 university there is a challenge, with respect to Conceptual Modeling topics, of bridging the gap between bachelor-level studies and research work. At bachelor-level, Conceptual Modeling is subordinated to Software Engineering topics consequently making extensive use of software design standards. However, at doctoral level or in project-based work, modeling methods must be scientifically framed within wider-scoped paradigms - Design Science, Enterprise Modeling etc. In order to bridge this gap, we developed a teaching artifact to present Conceptual Modeling as a standalone discipline that can produce its own artifacts, driven by requirements in a variety of domains. The teaching artifact is an agile modeling method that ...
Conceptual modeling continues to evolve as researchers and practitioners reflect on the challenges o...
Conceptual modeling is the practice of formally describing a real-world domain to enable better unde...
Learning requirements analysis and validation through conceptual modeling is very hard. Experienced ...
In the authors\u27 university there is a challenge, with respect to Conceptual Modeling topics, of b...
This article frames Conceptual Modeling education as a design problem, in the sense of the Design Sc...
Conceptual modeling and metamodeling are vital parts in computer and information science study progr...
Modeling is an important skill needed in both science and engineering domains. In software engineeri...
This article presents the results of observations and analyses of students’ learning model-driven sy...
How do we learn conceptual modeling? What are common learning difficulties? Which tool support assis...
Background: Software Engineering is a high-demand field constantly changing with new languages, tool...
Preface Putting the model-driven development (MDD) approaches and technologies for software-based sy...
Model-driven engineering (MDE) is a promising paradigm to deal with the ever increasing complexity o...
Several authors have pointed out a significant gap between Conceptual Modeling (CM) theory and pract...
Abstract. For many years, I have been teaching meta-programming, software modeling and more recently...
Computer Science students who have one or more years of basic programmingexperience and little or no...
Conceptual modeling continues to evolve as researchers and practitioners reflect on the challenges o...
Conceptual modeling is the practice of formally describing a real-world domain to enable better unde...
Learning requirements analysis and validation through conceptual modeling is very hard. Experienced ...
In the authors\u27 university there is a challenge, with respect to Conceptual Modeling topics, of b...
This article frames Conceptual Modeling education as a design problem, in the sense of the Design Sc...
Conceptual modeling and metamodeling are vital parts in computer and information science study progr...
Modeling is an important skill needed in both science and engineering domains. In software engineeri...
This article presents the results of observations and analyses of students’ learning model-driven sy...
How do we learn conceptual modeling? What are common learning difficulties? Which tool support assis...
Background: Software Engineering is a high-demand field constantly changing with new languages, tool...
Preface Putting the model-driven development (MDD) approaches and technologies for software-based sy...
Model-driven engineering (MDE) is a promising paradigm to deal with the ever increasing complexity o...
Several authors have pointed out a significant gap between Conceptual Modeling (CM) theory and pract...
Abstract. For many years, I have been teaching meta-programming, software modeling and more recently...
Computer Science students who have one or more years of basic programmingexperience and little or no...
Conceptual modeling continues to evolve as researchers and practitioners reflect on the challenges o...
Conceptual modeling is the practice of formally describing a real-world domain to enable better unde...
Learning requirements analysis and validation through conceptual modeling is very hard. Experienced ...