The adaptation of a model of an artifact-centric business process instance and its validation

1Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

The adaptability of an in-progress business process is an essential requirement for any business process management system in dynamic business process environments. Over the last two decades, the artifact-centric approach for business process management has been evidenced to have higher level of flexibility. However, the adaptation of a model of an artifact-centric business process instance is still inevitable and pervasive due to the complex and ever-changing business environments. Almost all works of artifact-centric business process neglect this issue. To fill this gap, we propose a special business rule called adaptation rule to address the dynamic adaptation problem and describe the adaptation by a global adaptation model. Moreover, we provide a validation mechanism over our proposed adaptation rule of the global adaptation model to guarantee the behavior correctness of the adaptation. Through this validation approach, computing the lifecycle of the global adaptation model can be avoided.

References Powered by Scopus

Business artifacts: An approach to operational specification

452Citations
N/AReaders
Get full text

Correctness criteria for dynamic changes in workflow systems - A survey

320Citations
N/AReaders
Get full text

Conceptual modeling of processes and data: Connecting different perspectives

284Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Changes in artefact-centric business process instances and their correctness prediction

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zhang, J., & Liu, G. (2019). The adaptation of a model of an artifact-centric business process instance and its validation. Information (Switzerland), 10(2). https://doi.org/10.3390/info10020057

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 8

89%

Professor / Associate Prof. 1

11%

Readers' Discipline

Tooltip

Computer Science 4

44%

Business, Management and Accounting 3

33%

Social Sciences 1

11%

Engineering 1

11%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free