Process fragments provide reusable granules of business process to enable process modeling based on existing knowledge. The need of reuse of some business part to fulfill companies’ requirements lead to the need of extracting business fragments from repository. The repository contains a set of process fragments derived from business process models in the same field of business. To build the repository, first we adopt and combine concept of variability and behavior context process to extract process fragment from business process model. From the repository, we use collection of process fragment to build a new business process model. The aim of this study is to propose an approach to extract fragment from repository using keyword. The prototype that we build shows that the proposed approach can actually be applied in practice for an easier and faster development of business process model. From the prototype that we build demonstrated that our proposed algorithm can properly detect all possible fragment. However, the efficiency of algorithms need to be improved.

Process fragments provide reusable granules of business process to enable process modeling based on existing knowledge. The need of reuse of some business part to fulfill companies’ requirements lead to the need of extracting business fragments from repository. The repository contains a set of process fragments derived from business process models in the same field of business. To build the repository, first we adopt and combine concept of variability and behavior context process to extract process fragment from business process model. From the repository, we use collection of process fragment to build a new business process model. The aim of this study is to propose an approach to extract fragment from repository using keyword. The prototype that we build shows that the proposed approach can actually be applied in practice for an easier and faster development of business process model. From the prototype that we build demonstrated that our proposed algorithm can properly detect all possible fragment. However, the efficiency of algorithms need to be improved.

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