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Ontology-Based Framework for Quality in Configurable Process Models
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In recent years, business process modeling has increasingly drawn the attention of enterprises. As a result of the wide use of business processes, redundancy problems have arisen and researchers introduced the variability management, in order to enhance the business process reuse. The most approach used in this context is the Configurable Process Model solution, which consists in representing the variable and the fixed parts together in a unique model. Due to the increasing number of variants, the configurable models become complex and incomprehensible, and their quality is therefore impacted. Most of research work is limited to the syntactic quality of process variants. The approach presented in this paper aims at providing a novel method towards syntactic verification and semantic validation of configurable process models based on ontology languages. We define validation rules for assessing the quality of configurable process models. An example in the e-healthcare domain illustrates the main steps of our approach.
Title: Ontology-Based Framework for Quality in Configurable Process Models
Description:
In recent years, business process modeling has increasingly drawn the attention of enterprises.
As a result of the wide use of business processes, redundancy problems have arisen and researchers introduced the variability management, in order to enhance the business process reuse.
The most approach used in this context is the Configurable Process Model solution, which consists in representing the variable and the fixed parts together in a unique model.
Due to the increasing number of variants, the configurable models become complex and incomprehensible, and their quality is therefore impacted.
Most of research work is limited to the syntactic quality of process variants.
The approach presented in this paper aims at providing a novel method towards syntactic verification and semantic validation of configurable process models based on ontology languages.
We define validation rules for assessing the quality of configurable process models.
An example in the e-healthcare domain illustrates the main steps of our approach.
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