No abstract

No abstract

No abstract

In recent years, variability management in business processes is considered a key of reuse. Research works in this field focused mainly on variability modeling and resolution; whereas, evolution has been somehow neglected. In fact, new business requirements may occur, and business processes must evolve in order to meet the new needs. Furthermore, the evolution at business layer represented by configurable processes impact the IT layer represented by services. In this case, it is necessary to synchronize the changes between these two layers. In other words, the alignment of configurable processes and configurable services must occur to maintain an integrated view of an organization. This can be reached by the concept of service-based configurable processes. The study of existing tools in this domain shows the lack of solutions integrating both the evolution management, and the change propagation with respect to the variability. This article aims to represent the CPMEv, a novel tool for evolution management of service-based configurable processes.

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.