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Correia, A. & Brito e Abreu, F. (2020). Enhancing the correctness of BPMN models. In Information Resources Management Association (Ed.), Sustainable business: Concepts, methodologies, tools, and applications. (pp. 373-394). Hershey: IGI Global.
A. C. Correia and F. M. Abreu, "Enhancing the correctness of BPMN models", in Sustainable business: Concepts, methodologies, tools, and applications, Information Resources Management Association , Ed., Hershey, IGI Global, 2020, pp. 373-394
@incollection{correia2020_1734978017463, author = "Correia, A. and Brito e Abreu, F.", title = "Enhancing the correctness of BPMN models", chapter = "", booktitle = "Sustainable business: Concepts, methodologies, tools, and applications", year = "2020", volume = "", series = "", edition = "", pages = "373-373", publisher = "IGI Global", address = "Hershey", url = "https://www.igi-global.com/gateway/book/222289" }
TY - CHAP TI - Enhancing the correctness of BPMN models T2 - Sustainable business: Concepts, methodologies, tools, and applications AU - Correia, A. AU - Brito e Abreu, F. PY - 2020 SP - 373-394 DO - 110.4018/978-1-5225-9615-8.ch017 CY - Hershey UR - https://www.igi-global.com/gateway/book/222289 AB - While some of the OMG's metamodels include a formal specification of well-formedness rules, using OCL, the BPMN metamodel specification only includes those rules in natural language. Although several BPMN tools claim to support, at least partly, the OMG's BPMN specification, we found that the mainstream of BPMN tools do not enforce most of the prescribed BPMN rules. Furthermore, the verification of BPMN process models publicly available showed that a relevant percentage of those BPMN process models fail in complying with the well-formedness rules of the BPMN specification. The enforcement of process model's correctness is relevant for the sake of better quality of process modeling and to attain models amenable of being enacted. In this chapter we propose supplement the BPMN metamodel with well-formedness rules expressed as OCL invariants in order to enforce BPMN models' correctness. ER -