Software Technology Research
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540-547

Business process conformance checking method based on data impact

Bai Shaokanga,b
Fang Xianwenb,c
Qian Chenjingb,c
a. School of Computer Science & Engineering, b. Anhui Province Engineering Laboratory for Big Data Analysis & Early Warning Technology of Coal Mine Safety, c. School of Mathematics & Big Data, Anhui University of Science & Technology, Huainan Anhui 232001, China

Abstract

In recent years, the accurate management of business processes has received more and more attention, so confor-mance checking technology as one of the business process management elements is becoming more and more essential. The existing conformance checking technology is mainly from the perspective of the control flow of the model, without considering the data in the business process or the impact of data changes on the business process. To solve above problems, this paper proposed a business process conformance checking method based on data impact. Firstly, the method analyzed the impact of data on the expected behavior of deviant activities through the dependency relationship between data and behavior in the business process modeling notation(BPMN) model, and obtained the expected behavior sets of deviant activities. Secondly, it introduced the decision model and notation(DMN) decision table into the BPMN model to fully capture the relationship between the data context and the behavior context of the current instance execution, so as to distinguish between valid data changes and abnormal data changes and found the effective expected behavior sets of deviation activities. Finally, this paper proposed an effective conformance checking method by designing various cost functions of the impact of data on deviation activities. Compared with existing work, the results show that the proposed method improves the conformance of business process. This method can successfully capture the adaptive behavior of responding to deviant activities, making business processes more accurate and reasonable in complex and changeable environments.

Foundation Support

国家自然科学基金资助项目(61572035,61402011)
安徽省重点研究与开发计划资助项目(2022a05020005)
安徽省高校领军骨干人才资助项目(2020-1-12)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.06.0252
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 2
Section: Software Technology Research
Pages: 540-547
Serial Number: 1001-3695(2024)02-033-0540-08

Publish History

[2023-08-11] Accepted Paper
[2024-02-05] Printed Article

Cite This Article

白少康, 方贤文, 钱陈婧. 基于数据影响的业务流程一致性检查方法 [J]. 计算机应用研究, 2024, 41 (2): 540-547. (Bai Shaokang, Fang Xianwen, Qian Chenjing. Business process conformance checking method based on data impact [J]. Application Research of Computers, 2024, 41 (2): 540-547. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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