{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:27:58Z","timestamp":1760146078601,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T00:00:00Z","timestamp":1726790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"],"award-info":[{"award-number":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"]}]},{"name":"Key projects of natural science research in Anhui Universities","award":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"],"award-info":[{"award-number":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"]}]},{"name":"Anhui Agriculture Research System","award":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"],"award-info":[{"award-number":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"]}]},{"name":"Project of Anhui Provincial Department of Science and Technology","award":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"],"award-info":[{"award-number":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"]}]},{"name":"Key Discipline Construction Project of Anhui Science and Technology University","award":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"],"award-info":[{"award-number":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"]}]},{"name":"The APC was funded by the Key Discipline Construction Project of Anhui Science and Technology University","award":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"],"award-info":[{"award-number":["61572035","61402011","2022AH051638","2022AH051651","2023AH051865","202204c06020065","XK-XJGY002","XK-XJGY002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>In business process management, business process change analysis is the key link to ensure the flexibility and adaptability of the system. The existing methods mostly focus on the change analysis of a single business process from the perspective of control flow, ignoring the influence of data changes on collaborative processes with information interaction. In order to compensate for this deficiency, this paper proposes a rule-driven consistency analysis method for data changes in collaborative processes. Firstly, it analyzes the influence of data changes on other elements (such as activities, data, roles, and guards) in collaborative processes, and gives the definition of data influence. Secondly, the optimal alignment technology is used to explore how data changes interfere with the expected behavior of deviation activities, and decision rules are integrated into the Petri net model to accurately evaluate and screen out the effective expected behavior that conforms to business logic and established rules. Finally, the initial optimal alignment is repaired according to the screened effective expected behavior, and the consistency of business processes is recalculated. The experimental results show that the introduced rule constraint mechanism can effectively avoid the misjudgment of abnormal behavior. Compared with the traditional method, the average accuracy, recall rate, and F1-score of effective expected behavior are improved by 4%, 4.7%, and 4.3%, respectively. In addition, the repaired optimal alignment significantly enhances the system\u2019s ability to respond quickly and self-adjust to data changes, providing a strong support for the intelligent and automated transformation of business process management.<\/jats:p>","DOI":"10.3390\/sym16091233","type":"journal-article","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T04:31:23Z","timestamp":1726806683000},"page":"1233","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Consistency Analysis of Collaborative Process Data Change Based on a Rule-Driven Method"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5595-6777","authenticated-orcid":false,"given":"Qianqian","family":"Wang","sequence":"first","affiliation":[{"name":"College of Information & Network Engineering, Anhui Science and Technology University, Bengbu 233000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7768-0153","authenticated-orcid":false,"given":"Chifeng","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan 232001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/j.jss.2008.12.050","article-title":"Lightweight Query-Based Analysis of Workflow Process Dependencies","volume":"82","author":"Dai","year":"2009","journal-title":"J. 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