The Unified Modeling Language user guide
The Unified Modeling Language user guide
Writing Effective Use Cases
Object-Oriented Methods
Object-Process Methodology: A Holistic Systems Paradigm
Object-Process Methodology: A Holistic Systems Paradigm
Integrated Approach for Modelling of Semantic and Pragmatic Dependencies of Information Systems
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Problems and Deficiencies of UML as a Requirements Specification Language
IWSSD '00 Proceedings of the 10th International Workshop on Software Specification and Design
Aspect-Oriented Software Development with Use Cases (Addison-Wesley Object Technology Series)
Aspect-Oriented Software Development with Use Cases (Addison-Wesley Object Technology Series)
Value-oriented design of service coordination processes: correctness and trust
Proceedings of the 2005 ACM symposium on Applied computing
Enterprise Ontology: Theory and Methodology
Enterprise Ontology: Theory and Methodology
Towards an Ontological Foundation for Services Science
Future Internet --- FIS 2008
Interactive Analysis of Agent-Goal Models in Enterprise Modeling
International Journal of Information System Modeling and Design
Modeling Approach for Integration and Evolution of Information System Conceptualizations
International Journal of Information System Modeling and Design
A Look Behind Conceptual Modeling Constructs in Information System Analysis and Design
International Journal of Information System Modeling and Design
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Identification of discontinuities, separation of concerns, and dealing with the evolutionary changes of requirements is difficult in conceptual modeling. The limited human mind allows focusing on one particular requirement at a time in isolation. One fundamental problem is that all conventional conceptual modeling techniques deal with collections of loosely linked meta-models, which are defined by different types of diagrams. Typically, system development methods project interactive, behavioral, and structural aspects of information systems' conceptual representations into disparate views. Therefore, the semantic integrity of various architecture dimensions is difficult to achieve. The difficulties stem from the paradigmatic mismatch between static and dynamic constructs. The advantage of the conceptual modeling approach presented in this paper is flexibility. It is demonstrated by case study examples that sequential, underlying, enclosing, overriding, and overlaying interaction loops between actors provide the foundation for the composition of complex scenarios, which span across organizational and technical system boundaries. The presented semantic integration and system decomposition principles target business process modeling experts and information system designers, because they are essential for introducing evolutionary changes and managing complexity of information system conceptualizations.