Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives

Guangming Li; Renata Medeiros De Carvalho; Wil M.P. van der Aalst

doi:10.1145/3297280.3297287

Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives

Guangming Li, Renata Medeiros De Carvalho, Wil M.P. van der Aalst

Process Analytics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

1 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	Proceeding SAC '19 Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	48-56
Number of pages	9
ISBN (Print)	978-1-4503-5933-7
DOIs	https://doi.org/10.1145/3297280.3297287
Publication status	Published - 8 Apr 2019
Event	34th Annual ACM Symposium on Applied Computing, SAC 2019 - Limassol, Cyprus Duration: 8 Apr 2019 → 12 Apr 2019

Conference

Conference	34th Annual ACM Symposium on Applied Computing, SAC 2019
Country/Territory	Cyprus
City	Limassol
Period	8/04/19 → 12/04/19

Keywords

Business process modeling
Class models
Databases
Declarative constraints
Object models
Object-Centric

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10.1145/3297280.3297287

Cite this

@inproceedings{984280f991d845b5850027c5ac769100,

title = "Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives",

abstract = "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.",

keywords = "Business process modeling, Class models, Databases, Declarative constraints, Object models, Object-Centric",

author = "Guangming Li and {De Carvalho}, {Renata Medeiros} and {van der Aalst}, {Wil M.P.}",

year = "2019",

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doi = "10.1145/3297280.3297287",

language = "English",

isbn = "978-1-4503-5933-7",

pages = "48--56",

booktitle = "Proceeding SAC '19 Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing",

publisher = "Association for Computing Machinery, Inc",

address = "United States",

note = "34th Annual ACM Symposium on Applied Computing, SAC 2019 ; Conference date: 08-04-2019 Through 12-04-2019",

}

Li, G, De Carvalho, RM & van der Aalst, WMP 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. Association for Computing Machinery, Inc, New York, pp. 48-56, 34th Annual ACM Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, 8/04/19. https://doi.org/10.1145/3297280.3297287

Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives. / Li, Guangming; De Carvalho, Renata Medeiros; van der Aalst, Wil M.P.
Proceeding SAC '19 Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. New York: Association for Computing Machinery, Inc, 2019. p. 48-56.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - De Carvalho, Renata Medeiros

AU - van der Aalst, Wil M.P.

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N2 - 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.

AB - 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.

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KW - Databases

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Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives

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