Modeliranje funkcionalnih zahtev dinamičnega izbiranja storitev v modelih poslovnih procesov : doktorska disertacija

slovenian

doktorska dela

2013

Univerza v Mariboru, Fakulteta za elektrotehniko računalništvo in informatiko

In the dissertation, we have proposed a meta-model for formal specification of functional requirements for dynamic service selection in business process models. The meta-model is independent of business process modeling languages and notations. It addresses configurable content- and context-aware dynamic service selection. By leveraging the benefits of this approach, the meta-model assures greater flexibility of the modeled processes and reduces their complexity. We have verified the feasibility and effectiveness of the meta-model by including it into the de facto standard for business process modeling Business Process Model and Notation 2.0. We have achieved this by proposing a set of extensions to this standard. For service interface descriptions of dynamic selection points within process models, we have developed a solution that offers use case-specific definitions of XML Schema structural constraints. This solution is useful in broader scenarios since it supports definitions of types and elements that can be used in different use cases, each with its own set of specific structural constraints. This enables design of XML Schema documents with minimal number of types needed for modeling a specific domain. We have shown the effectiveness of the meta-model through the complexity measurement of real world business process models using relevant metrics. We have proposed a new, service oriented architecture compatible method for functional size measurement of business process models. For this purpose, we have adapted the COSMIC method to the business process management domain. We have used the adapted method for checking the effect of the meta-model on the needed effort to implement the modeled business processes. This way we have verified the findings regarding the effectiveness of our proposed solution.

07.08.2023