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The C4 model relies at this level on existing notations such as Unified Modelling Language (UML), Entity Relation Diagrams (ERD) or diagrams generated by Integrated Development Environments (IDE). For level 1 to 3, the C4 model uses 5 basic diagramming elements: persons, software systems, containers, components and relationships.
The MSF metamodel consists of foundational principles, a team model and cycles and iterations. MSF 4.0 provides a higher-level framework of guidance and principles which can be mapped to a variety of prescriptive process templates. It is structured in both descriptive and prescriptive methodologies.
Rule-based modeling is a modeling approach that uses a set of rules that indirectly specifies a mathematical model. The rule-set can either be translated into a model such as Markov chains or differential equations, or be treated using tools that directly work on the rule-set in place of a translated model, as the latter is typically much bigger.
Object process methodology (OPM) is a conceptual modeling language and methodology for capturing knowledge and designing systems, specified as ISO/PAS 19450. [1] Based on a minimal universal ontology of stateful objects and processes that transform them, OPM can be used to formally specify the function, structure, and behavior of artificial and natural systems in a large variety of domains.
A diagram is a partial graphic representation of a system's model. The set of diagrams need not completely cover the model and deleting a diagram does not change the model. The model may also contain documentation that drives the model elements and diagrams (such as written use cases). UML diagrams represent two different views of a system ...
The same process model is used repeatedly for the development of many applications and thus, has many instantiations. One possible use of a process model is to prescribe how things must/should/could be done in contrast to the process itself which is really what happens. A process model is roughly an anticipation of what the process will look like.
Design science research (DSR) is a research paradigm focusing on the development and validation of prescriptive knowledge in information science. Herbert Simon distinguished the natural sciences, concerned with explaining how things are, from design sciences which are concerned with how things ought to be, [1] that is, with devising artifacts to attain goals.
Purdue Reference Model, “95” provides a model for enterprise control, which end users, integrators and vendors can share in integrating applications at key [5] layers in the enterprise: Level 0 — The physical process — Defines the actual physical processes. Level 1 — Intelligent devices — Sensing and manipulating the physical ...