Li, G., De Carvalho, R. M., & van der Aalst, W. M. P. (2019). Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives. In Proceeding SAC ’19 Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 48-56). New York: Association for Computing Machinery, Inc. DOI: 10.1145/3297280.3297287
In order to maintain a competitive edge, enterprises are driven to improve efficiency by modeling their business processes. Existing process modeling languages often only describe the lifecycles of individual process instances in isolation. Although process models (e.g., BPMN and Data-aware Petri nets) may include data elements, explicit connections to real data models (e.g., a UML class model) are rarely made. Therefore, the Object-Centric Behavioral Constraint (OCBC) modeling language was proposed to describe the behavioral and data perspectives, and the interplay between them in one single, hybrid diagram. In this paper, we describe OCBC models and introduce the extended interactions between the data and behavioral perspectives on the attribute level. We implement the approach in a plugin and evaluate it by a comparison with other models.