Quality Evaluation of EPC to BPMN Business Process Model Transformation | Zendy

Ahsanun Naseh Khudori | Zendy; Tri Astoto Kurniawan | Zendy; Fatwa Ramdani | Zendy

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Quality Evaluation of EPC to BPMN Business Process Model Transformation

Author(s) -

Ahsanun Naseh Khudori,

Tri Astoto Kurniawan,

Fatwa Ramdani

Publication year - 2020

Publication title -

journal of information technology and computer science

Language(s) - English

Resource type - Journals

eISSN - 2540-9824

pISSN - 2540-9433

DOI - 10.25126/jitecs.202052176

Subject(s) - business process model and notation , computer science , correctness , completeness (order theory) , business process modeling , model transformation , business process , process modeling , software engineering , transformation (genetics) , xpdl , process (computing) , business process management , process management , database , programming language , workflow , work in process , engineering , artificial intelligence , operations management , mathematics , mathematical analysis , biochemistry , chemistry , consistency (knowledge bases) , workflow engine , gene

Due to the expressiveness of BPMN for representing the business processes, it has replaced EPC as a de-facto process modelling standard. As such, enterprises require to transform their existing EPC business process models to BPMN to keep their competitiveness. ARIS Architect & Designer, as a popular business process modelling tool, provides a model transformation feature, e.g., EPC to BPMN. For the sake of quality, it must guarantee that the resulting model has syntactic correctness and syntactic completeness. However, there is currently limited scientific approach available to evaluate the quality of the model transformation in ARIS Architect & Designer. This study proposes an evaluation of model transformation in ARIS Architect/Designer based on syntactic correctness and syntactic completeness criteria using an experimental approach. The result shows the model transformation in ARIS Architect/Designer has not completely fulfilled the criteria. The result opens further research challenges to improve the quality of EPC to BPMN model transformation.

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