{"title":"业务流程模型中的行为相似性:需要更多关注的透视图","authors":"Francesca Zampino , Laura Genga , Antonella Longo","doi":"10.1016/j.is.2025.102608","DOIUrl":null,"url":null,"abstract":"<div><div>Although extensive research has explored business process model similarity, the coherence and structure of these studies remain underexplored. This paper systematically reviews the literature, with a particular focus on behavioral similarity. We conduct a systematic review of the literature on process model similarity, with a focus on two primary measurement approaches: trace-based and model-based similarity. Based on 99 reviewed studies, we developed a three-dimensional framework and conducted a quantitative comparison of selected similarity measures for deeper analysis. Our findings provide structured insights to strengthen the assessment of process model similarity, particularly from a behavioral perspective. The review process follows a six-phase systematic methodology, from the identification of relevant keywords to the creation of bibliographic maps that visually represent the findings. These insights offer a foundation for future research and practical applications within the field.</div></div>","PeriodicalId":50363,"journal":{"name":"Information Systems","volume":"136 ","pages":"Article 102608"},"PeriodicalIF":3.4000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Behavioral similarity in business process models: A perspective that needs more attention\",\"authors\":\"Francesca Zampino , Laura Genga , Antonella Longo\",\"doi\":\"10.1016/j.is.2025.102608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Although extensive research has explored business process model similarity, the coherence and structure of these studies remain underexplored. This paper systematically reviews the literature, with a particular focus on behavioral similarity. We conduct a systematic review of the literature on process model similarity, with a focus on two primary measurement approaches: trace-based and model-based similarity. Based on 99 reviewed studies, we developed a three-dimensional framework and conducted a quantitative comparison of selected similarity measures for deeper analysis. Our findings provide structured insights to strengthen the assessment of process model similarity, particularly from a behavioral perspective. The review process follows a six-phase systematic methodology, from the identification of relevant keywords to the creation of bibliographic maps that visually represent the findings. These insights offer a foundation for future research and practical applications within the field.</div></div>\",\"PeriodicalId\":50363,\"journal\":{\"name\":\"Information Systems\",\"volume\":\"136 \",\"pages\":\"Article 102608\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306437925000924\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306437925000924","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Behavioral similarity in business process models: A perspective that needs more attention
Although extensive research has explored business process model similarity, the coherence and structure of these studies remain underexplored. This paper systematically reviews the literature, with a particular focus on behavioral similarity. We conduct a systematic review of the literature on process model similarity, with a focus on two primary measurement approaches: trace-based and model-based similarity. Based on 99 reviewed studies, we developed a three-dimensional framework and conducted a quantitative comparison of selected similarity measures for deeper analysis. Our findings provide structured insights to strengthen the assessment of process model similarity, particularly from a behavioral perspective. The review process follows a six-phase systematic methodology, from the identification of relevant keywords to the creation of bibliographic maps that visually represent the findings. These insights offer a foundation for future research and practical applications within the field.
期刊介绍:
Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems.
Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome. Manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, are also welcome. All papers should highlight innovative solutions to data management problems such as new data models, performance enhancements, and show how those innovations contribute to the goals of the application.