Modeling & Simulation Process Modelling

in Process
Process models are processes of the same nature that are classified together into a model. Thus, a process model is a description of a process at the type level. Since the process model is at the type level, a process is an instantiation of it. 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. What the process shall be will be determined during actual system development.

The goals of a process model are to be:

* Descriptive
o Track what actually happens during a process.
o Takes the point of view of an external observer who looks at the way a process has been performed and determines the improvements that have to be made to make it perform more effectively or efficiently.

* Prescriptive
o Defines the desired processes and how they should/could/might be performed.
o Lays down rules, guidelines, and behavior patterns which, if followed, would lead to the desired process performance. They can range from strict enforcement to flexible guidance.

* Explanatory
o Provides explanations about the rationale of processes.
o Explore and evaluate the several possible courses of action based on rational arguments.
o Establish an explicit link between processes and the requirements that the model needs to fulfill.
o Pre-defines points at which data can be extracted for reporting purposes.

As the quality of process models is being discussed in this paper, there is a need to elaborate quality of modelling techniques as an important essence in quality of process models. In most existing framework created for understanding the quality, the line between quality of modeling techniques and the quality of models as a result of the application of those techniques are not clearly drawn. This report will concentrate both on quality of process modelling techniques and quality of process models in order to clearly differentiate the two.

Various frameworks were developed to help in understanding quality of process modelling techniques, one example is Quality based modelling evaluation framework or known as Q-Me framework which argued to provide set of well defined quality properties and procedures to make an objective assessment of this properties possible. This framework also has advantages of providing uniform and formal description of the model element within one or different model types using one modelling techniques In short this can make assessment of both the product quality and the process quality of modelling techniques with regard to a set of properties that have been defined before.

Quality properties that relate to business process modelling techniques discussed in. are:

Expressiveness- the degree to which a given modelling technique is capable of denoting the models of any number and kinds of application domains.

Arbitrariness- the degree of freedom one has when modelling one and the same domain

Suitability-the degree to which a given modelling technique is specifically tailored for a specific kind of application domain.

Comprehensibility- the ease with which the way of working and way of modelling are understood by participants.

Coherencethe degree to which the individual sub models of a way of modelling constitutes a whole.

Completeness the degree to which all necessary concepts of the application domain are represented in the way of modelling.

Efficiency- the degree to which the modelling process utilises resources such as time and people.

Effectiveness- the degree to which the modelling process achieves its goal.
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KrishnaSingh has 1 articles online

Hello I am Krishna from I have been writing on Modeling & Simulation Process Modelling from past few months for

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This article was published on 2011/02/07