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Title:
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ENHANCING THE QUALITY OF CONFIGURABLE PROCESS MODELS USING ONTOLOGY LANGUAGES |
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Author(s):
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Loubna El Faquih, Mounia Fredj |
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ISBN:
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978-989-8533-50-0 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Configurable Process Models Quality, Semantic Validation, Syntactic Verification, Ontology, Variant Rich BPMN. |
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Type:
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Full Paper |
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First Page:
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115 |
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Last Page:
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122 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Variability management in business process aims at providing solutions to the redundancy problems and enhancing business process reuse. The most widely used approach in this context is the Configurable Process Model solution which consists in representing the variable and the fixed parts together in a unique model. These models become complex and incomprehensible with the increasing number of variants. Therefore, the quality of configurable process models is impacted. Nowadays, producing sound and valid process models still represents a concern for business process designers. Most of research work focus on syntactic quality of process variants. Our contribution consists of 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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