重庆工商大学学报（自然科学版）2025，Vol.42Issue(2)：95-104,10.DOI:10.16055/j.issn.1672-058X.2025.0002.013
业务流程一致性检查方法
A Conformance Checking Method for Business Process:Based on Directly Following Rule Model
摘要
Abstract
Objective Traditional conformance detection methods mostly consider the control flow and do not take into account the impact of data on the conformance checking process in process.To address this limitation,a conformance checking method based on the directly following rule model(DFRM)was proposed,extending the traditional directly following model.Methods Firstly,the control flow and data flow of the real process model were respectively transformed into business process rules from their own perspectives.Then,the control flow rules were combined with the data flow rules using association rules,and the data rules were processed using satisfiability modulo theory(SMT),ultimately obtaining the representation based on the direct-following rule model.Then,event logs were extracted from event data,and control flow alignment was prioritized before data flow alignment to achieve multi-perspective business process conformance checking.Results The proposed method was evaluated using real medical event logs.Compared with other traditional methods,the proposed method has better performance in terms of model fitness and F1 score,and the model has less execution time due to its simplicity.Conclusion Combining the data perspective with the directly following model in the form of data association rules provides a new extension direction for the model representation of current business process software.Introducing the data perspective into the business process solves the problem that existing process models cannot express some decision requirements related to data,and also takes into account the possible biases of other perspectives in the conformance checking process.关键词
一致性检测/关联规则/智慧医疗/直接跟随规则模型(DFRM)Key words
conformance checking/association rules/smart healthcare/directly following rule model(DFRM)分类
信息技术与安全科学引用本文复制引用
左殷恺,卢可..业务流程一致性检查方法[J].重庆工商大学学报（自然科学版）,2025,42(2):95-104,10.基金项目
国家自然科学基金(61572035) （61572035）
安徽省重点研究与开发计划项目(2022A05020005). （2022A05020005）
