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| Definition and detection approach of control-flow anti-patterns in process models |
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HAN Zhao-gang1, GONG Peng1, ZHANG Li1, L Fang-xing2
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(1.Institute of Software Engineering, Beihang University, Beijing 100191, China;2.Department of Computer and Information Engineering, Heze University, Heze 274015,China)
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| Abstract: |
| A control-flow anti-pattern definition and detection approach for process models was proposed. Firstly control-flow structures of different process models are extracted and reduced to process structure tree which is language-independent, then control-flow anti-patterns are detected according to their CAPDL (control-flow anti-pattern description language) definitions in the process structure tree. The proposed approach can support user-defined control-flow anti-pattern detection with different process modeling languages. The results of anti-pattern detection experiment based on 215 real-world BPMN process models show that the proposed approach can detect user-defined control-flow anti-patterns effectively. Compared with existing approaches, the efficiency of anti-pattern detection is greatly enhanced. |
| Key words: process modeling control-flow anti-pattern anti-pattern detection |
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