China
Africa
Explore chapters and articles related to this topic
Enterprise Modeling
Published in Vivek Kale, Enterprise Process Management Systems, 2018
A business process model is the result of mapping a business process. This business process can be either a real-world business process as perceived by a modeler or a conceptualized business process. Business process modeling is the human activity of creating a business process model. Business process modeling involves an abstraction from the real-world business process because it serves a certain modeling purpose. Therefore, only those aspects relevant to the modeling purpose are included in the process model. Business process modeling languages guide the procedure of business process modeling by offering a predefined set of elements and relationships for business processes. A business process modeling language can be specified using a metamodel. In conjunction with a respective method, it establishes a business process modeling technique.
Object Modeling Your Data
Published in Cliff Wootton, Developing Quality Metadata, 2009
Web Service Composition Languages (WSCL) are emerging to describe how a webbased system will operate on data being passed to it: Business Process Execution Language (BPEL).Yet Another Workflow Language (YAWL).Business Process Modeling Language (BPML).Web Services Flow Language (WSFL).Web Services Description Language (WSDL).XLANG—Extended WSDL.Semantic Web Services Language (SWSL).XML Process Definition Language (XPDL).
Guidelines for Business Rule Modeling Decisions
Published in Journal of Computer Information Systems, 2018
Wei Wang, Marta Indulska, Shazia Sadiq
Complexity refers to the level of difficulty in defining or understanding a business rule. Some rules are simple and some rules can be complex in nature. Thus, the clarity and simplicity of business rules may differ based on the chosen representation [21]. Certain kinds of business rules cannot be clearly expressed in a business process modeling language due to language representation limitations, while others may be easily modeled as a standalone rule due to the more precise representation capability [17].