Search results
Results from the WOW.Com Content Network
Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. It may be applied as part of broader Model-driven engineering (MDE) concept.
Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.
Business Process Modeling Notation Example. Systems modeling or system modeling is the interdisciplinary study of the use of models to conceptualize and construct systems in business and IT development. [2] A common type of systems modeling is function modeling, with specific techniques such as the Functional Flow Block Diagram and IDEF0.
Meta-process modeling is a type of metamodeling used in software engineering and systems engineering for the analysis and construction of models applicable and useful to some predefined problems. Meta-process modeling supports the effort of creating flexible process models. The purpose of process models is to document and communicate processes ...
These five views are based on function, organization, data, product or service views of a process, and the process view itself, that integrates the other views. The classification is made to break down the complexity of the model into five facets and thus make business process modeling simpler.
Software analysis patterns or analysis patterns in software engineering are conceptual models, which capture an abstraction of a situation that can often be encountered in modelling. An analysis pattern can be represented as "a group of related, generic objects ( meta-classes ) with stereotypical attributes (data definitions), behaviors (method ...
Thus metamodeling or meta-modeling is the analysis, construction, and development of the frames, rules, constraints, models, and theories applicable and useful for modeling a predefined class of problems. As its name implies, this concept applies the notions of meta-and modeling in software engineering and systems engineering. Metamodels are of ...
Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, behavioral, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making. [1] [2]