12871nam 22007455 450 991086525070332120240916214808.09783031610073303161007510.1007/978-3-031-61007-3(MiAaPQ)EBC31357845(Au-PeEL)EBL31357845(CKB)32170744700041(OCoLC)1436830942(DE-He213)978-3-031-61007-3(EXLCZ)993217074470004120240530d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierEnterprise, Business-Process and Information Systems Modeling 25th International Conference, BPMDS 2024, and 29th International Conference, EMMSAD 2024, Limassol, Cyprus, June 3–4, 2024, Proceedings /edited by Han van der Aa, Dominik Bork, Rainer Schmidt, Arnon Sturm1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (400 pages)Lecture Notes in Business Information Processing,1865-1356 ;5119783031610066 3031610067 Intro -- Preface -- BPMDS 2024 -- EMMSAD 2024 -- BPMDS 2024 Organization -- EMMSAD 2024 Organization -- Contents -- Joint BPMDS/EMMSAD 2024 Keynote -- Resource Optimization in Business Processes -- 1 Introduction -- 2 Framework for Business Process Resource Optimization -- 3 Advances in Business Process Resource Optimization -- 4 Conclusions -- References -- Large Language Model Applications (BPMDS 2024) -- Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies -- 1 Introduction -- 2 Background -- 2.1 Process Mining Tasks for LLMs -- 2.2 Implementation Paradigms of Process Mining on LLMs -- 3 Evaluating LLMs in Process Mining -- 3.1 LLMs Capabilities Needed for Process Mining -- 3.2 Relevant LLMs Benchmarks -- 3.3 How to Evaluate LLMs Outputs -- 4 Conclusion -- References -- Mapping the Landscape: Exploring Large Language Model Applications in Business Process Management -- 1 Introduction -- 2 Preliminary Concepts -- 2.1 Business Process Management Lifecycle -- 2.2 Large Language Models -- 3 Review Method -- 3.1 Inclusion and Exclusion Criteria -- 3.2 Sources and Search Strategy -- 4 Results -- 4.1 Positioning Articles -- 4.2 Articles that Contribute to the BPM Lifecycle Phases -- 5 Discussion and Conclusions -- References -- Process Model Extraction, Analysis, and Visualization (BPMDS 2024) -- Designing a User Interface to Explore Collections of Directly-Follows Graphs for Process Mining Analysis -- 1 Introduction -- 2 Related Work -- 3 Research Methodology -- 4 Results -- 4.1 Context Creation -- 4.2 Results Information -- 4.3 Pattern Search -- 5 Discussion and Limitations -- 6 Conclusions -- References -- Precision-Guided Minimization of Arbitrary Declarative Process Models -- 1 Introduction -- 2 Preliminaries -- 3 Minimizing Arbitrary Declarative Models -- 4 Experimental Evaluation.5 Related Work -- 6 Conclusion -- References -- Leveraging Data Augmentation for Process Information Extraction -- 1 Introduction -- 2 Background -- 3 Related Work -- 4 Experiment Setup -- 4.1 Data Augmentation Effects -- 4.2 Finding Optimal Configurations -- 5 Results -- 6 Conclusion and Future Work -- References -- User Preferences and Agile Processes (BPMDS 2024) -- A Generic Approach Towards Adapting User Preferences in Business Process Execution -- 1 Motivation -- 2 Background -- 3 Related Work -- 4 Research Contribution -- 5 Design and Development of Artifact -- 6 Demonstration and Evaluation -- 7 Conclusion and Future Work -- References -- Introducing Agile Controllability in Temporal Business Processes -- 1 Introduction -- 2 Motivating Example -- 3 STNUs and Oracles -- 4 Checking Agile Controllability -- 5 An Alternative Approach to Avoid Backtracking -- 6 Proof of Concept -- 7 Discussion and Conclusion -- References -- Reviewing Conformance Checking Uses for Run-Time Regulatory Compliance -- 1 Introduction -- 2 Background and Related Work -- 2.1 Conformance Checking -- 2.2 Compliance Checking -- 2.3 Related Work -- 3 Research Method -- 4 Results -- 4.1 Preparation -- 4.2 Action -- 4.3 Reflection -- 5 Discussion -- 5.1 RQ1-Identification of Existing Contributions -- 5.2 RQ2-Characteristics of Existing Contributions -- 5.3 RQ3-Research Opportunities -- 5.4 Threats to Validity -- 6 Conclusion and Future Work -- References -- Process Discovery and Analysis (BPMDS 2024) -- Visual Representation of Resource Analysis Insights for Process Mining -- 1 Introduction -- 2 Background -- 2.1 Resource Analysis in Process Mining -- 2.2 Visualization of Resource-Related Indicators -- 2.3 Requirements -- 3 Approach -- 3.1 Preliminaries -- 3.2 Implementation -- 4 Evaluation -- 4.1 Event Log -- 4.2 User Evaluation -- 4.3 Discussion -- 4.4 Limitations.5 Conclusion -- References -- Process Variant Analysis Across Continuous Features: A Novel Framework -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Process Variant Identification Framework -- 4.1 Control Flow Change Detection -- 4.2 Segmentation and Pairwise Comparison -- 5 Case Study -- 5.1 UWV Event Log -- 5.2 Process Variant Analysis Using UWV Event Log -- 5.3 A Deeper Analysis Considering Rejected Cases -- 6 Conclusion -- References -- A Novel Contextualization Method for Process Discovery Using Activity Specialization Hierarchies -- 1 Introduction -- 2 Related Work -- 2.1 Contextualization in Process Mining -- 2.2 Hierarchical Process Mining -- 3 Preliminaries -- 4 Running Case Study -- 5 Process Discovery with Activity Specialization Hierarchies -- 5.1 Create Activity Specialization Hierarchies (Phase 1) -- 5.2 Process Discovery Using Hierarchies (Phase 2) -- 5.3 Interpret Results (Phase 3) -- 6 Discussion -- 7 Conclusion -- References -- Evaluation of Modeling Methods (EMMSAD 2024) -- Enhancing Our Understanding of Business Process Model Comprehension Using Biometric Data -- 1 Introduction -- 2 Background and Related Work -- 3 Method -- 3.1 Data Preprocessing -- 4 Results -- 5 Discussion -- 6 Concluding Remarks -- References -- A Method for Digital Business Ecosystem Design: Evaluation of Two Cases in the Maritime Dataspaces -- 1 Introduction -- 2 Background to DBEs and the DBEmap Method -- 3 Research Design -- 4 Method Application and Evaluation -- 4.1 Modelling the Marispace-X DBE -- 4.2 Modelling the Skippo DBE -- 4.3 Evaluation -- 5 Discussion and Conclusions -- References -- Technology for Automatic Usability Evaluation Using Model Driven Engineering -- 1 Introduction -- 2 Related Work -- 3 Model-Driven Usability Evaluation Process and Tool -- 3.1 FENIkS -- 3.2 Extended Presentation Model -- 3.3 Usability Evaluation Procedure.3.4 Usability Evaluation Tool -- 4 Evaluation by Experts -- 5 Conclusion and Further Work -- References -- Model-driven Engineering &amp -- AI 1 (EMMSAD 2024) -- Building BESSER: An Open-Source Low-Code Platform -- 1 Introduction -- 2 Overview of the BESSER Platform -- 2.1 B-UML Language -- 2.2 Code Generators -- 2.3 Running Example -- 2.4 Roadmap -- 3 BESSER Verticals -- 4 Discussion -- 5 Conclusion -- References -- Towards Taming Large Language Models with Prompt Templates for Legal GRL Modeling -- 1 Introduction -- 2 Challenges to Motivate Legal GRL Prompt Templates -- 3 Designing Legal GRL Prompt Templates -- 3.1 Preparations -- 3.2 Develop a Hohfeldian Model of Law -- 3.3 Generate a Legal GRL Model -- 4 Evaluation -- 4.1 Datasets for Scenarios -- 4.2 Results -- 4.3 Lessons Learned -- 5 Related Work -- 6 Conclusion and Outlook -- References -- Process Modeling with Large Language Models -- 1 Introduction -- 2 Related Work -- 3 LLM-Based Process Modeling Framework -- 3.1 Framework Overview -- 3.2 Process Representation -- 3.3 Prompt Engineering -- 3.4 Model Generation and Refinement -- 3.5 Error Handling -- 4 Evaluation -- 5 Limitations and Future Directions -- 6 Conclusion -- References -- Could a Large Language Model Contribute Significantly to Requirements Analysis? -- 1 Applying Large Language Models Despite Their Known Shortcomings -- 2 The Quasi-Experiment -- 2.1 The Quasi-Experiment's Goal and Form -- 2.2 Creation of Usable MS Word Documents Representing Three Cases -- 2.3 The Treatments -- 2.4 Execution of the Quasi-Experiment -- 3 Evaluation of Results Generated by ChatGPT-4 -- 4 Conclusions -- References -- Model-driven Engineering &amp -- AI 2 (EMMSAD 2024) -- Fast &amp -- Sound: Accelerating Synthesis-Rules-Based Process Discovery -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Approach.4.1 The Synthesis Miner and Its Limitations -- 4.2 Extensions -- 5 Experimental Evaluation -- 5.1 Experimental Setup -- 5.2 Results and Discussion -- 6 Conclusion -- References -- Navigating the Data Model Divide in Smart Manufacturing: An Empirical Investigation for Enhanced AI Integration -- 1 Introduction -- 2 Background and Related Work -- 3 Stage 1: Empirical Study of Data Model Practices -- 3.1 Research Design -- 3.2 Results -- 3.3 Discussion and Implications for Data Model Design -- 4 Stage 2: Design and Preliminary Evaluation of an Intermediary Machine Data Model -- 4.1 Formal and Technical Design Criteria for Bridging Data Models: Insights from OCEL 2.0 -- 4.2 MAED: A Bridging Data Model for Harmonizing Sensor-Generated Industrial Measurement Data -- 4.3 Preliminary Evaluation -- 5 Conclusions, Limitations, and Future Work -- References -- A Multi-dimensional Model for the Design and Development of Analytical Information Systems -- 1 Introduction -- 2 Related Work -- 3 Model for the Design and Development of AIS -- 3.1 Domain Knowledge Dimension -- 3.2 Data Provider and Consumer Dimension -- 3.3 Analytical Requirements Dimension -- 3.4 Data Architecture Dimension -- 3.5 Data Processing and Analytics Dimension -- 4 Demonstration Case: The TPC-H Data Set -- 5 Conclusions -- References -- Modeling and Sustainability (EMMSAD 2024) -- Situational Environmental, Social and Governance Accounting: From Ethical Value Elicitation to Sustainability Reporting -- 1 Introduction -- 2 Background -- 2.1 ESG Accounting with Situational Method Engineering -- 2.2 The OpenESEA Framework for Developing ESGA ISs -- 3 Research Approach -- 4 A Meta-method for the Creation of Situational ESG Accounting Methods -- 4.1 Process Fragments -- 4.2 Product and Tool Fragments -- 4.3 Assembly Strategy and Good Practices -- 5 ESG4Orgs Evaluation -- 6 Discussion and Conclusion.References.This book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: - the 25th International Conference on Business Process Modeling, Development and Support, BPMDS 2024, and - the 29th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024. The conferences were taking place in Limassor, Cyprus, during June 3–4, 2024. For BPMDS 8 full papers and 3 short papers were carefully reviewed and selected for publication from a total of 25 submissions; for EMMSAD 11 full papers and 5 short papers were accepted from a total of 32 submissions after thorough reviews. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development.Lecture Notes in Business Information Processing,1865-1356 ;511Information technologyManagementBusiness information servicesSoftware engineeringArtificial intelligenceComputer Application in Administrative Data ProcessingIT in BusinessSoftware EngineeringArtificial IntelligenceInformation technologyManagement.Business information services.Software engineering.Artificial intelligence.Computer Application in Administrative Data Processing.IT in Business.Software Engineering.Artificial Intelligence.005.3van der Aa Han905491Bork Dominik1367068Schmidt Rainer481952Sturm Arnon1741004MiAaPQMiAaPQMiAaPQBOOK9910865250703321Enterprise, Business-Process and Information Systems Modeling4168660UNINA