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[null,"1.","Record Nr.",null,"UNINA9910865250703321"]
[null,null,"Autore",null,"van der Aa Han"]
[null,null,"Titolo",null,"Enterprise, 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 Sturm"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031610073"]
[{"$nulls":4},"3031610075"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (400 pages)"]
[null,null,"Collana",null,"Lecture Notes in Business Information Processing, , 1865-1356 ; ; 511"]
[null,null,"Disciplina",null,"005.3"]
[null,null,"Soggetti",null,"Information technology - Management"]
[{"$nulls":4},"Business information services"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computer Application in Administrative Data Processing"]
[{"$nulls":4},"IT in Business"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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 -- "]
[{"$nulls":4},"2.1 Business Process Management Lifecycle -- 2.2 Large Language Models -- 3 Review Method -- 3.1 Inclusion and Exclusion Criteria -- 3.2 Sources and Search Strategy -- 4 Results -- 4.1 Positioning Articles -- 4.2 Articles that Contribute to the BPM Lifecycle Phases -- 5 Discussion and Conclusions -- References -- Process Model Extraction, Analysis, and Visualization (BPMDS 2024) -- Designing a User Interface to Explore Collections of Directly-Follows Graphs for Process Mining Analysis -- 1 Introduction -- 2 Related Work -- 3 Research Methodology -- 4 Results -- 4.1 Context Creation -- 4.2 Results Information -- 4.3 Pattern Search -- 5 Discussion and Limitations -- 6 Conclusions -- References -- Precision-Guided Minimization of Arbitrary Declarative Process Models -- 1 Introduction -- 2 Preliminaries -- 3 Minimizing Arbitrary Declarative Models -- 4 Experimental Evaluation."]
[{"$nulls":4},"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."]
[{"$nulls":4},"5 Conclusion -- References -- Process Variant Analysis Across Continuous Features: A Novel Framework -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Process Variant Identification Framework -- 4.1 Control Flow Change Detection -- 4.2 Segmentation and Pairwise Comparison -- 5 Case Study -- 5.1 UWV Event Log -- 5.2 Process Variant Analysis Using UWV Event Log -- 5.3 A Deeper Analysis Considering Rejected Cases -- 6 Conclusion -- References -- A Novel Contextualization Method for Process Discovery Using Activity Specialization Hierarchies -- 1 Introduction -- 2 Related Work -- 2.1 Contextualization in Process Mining -- 2.2 Hierarchical Process Mining -- 3 Preliminaries -- 4 Running Case Study -- 5 Process Discovery with Activity Specialization Hierarchies -- 5.1 Create Activity Specialization Hierarchies (Phase 1) -- 5.2 Process Discovery Using Hierarchies (Phase 2) -- 5.3 Interpret Results (Phase 3) -- 6 Discussion -- 7 Conclusion -- References -- Evaluation of Modeling Methods (EMMSAD 2024) -- "]
[{"$nulls":4},"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."]
[{"$nulls":4},"3.4 Usability Evaluation Tool -- 4 Evaluation by Experts -- 5 Conclusion and Further Work -- References -- Model-driven Engineering &amp -- AI 1 (EMMSAD 2024) -- Building BESSER: An Open-Source Low-Code Platform -- 1 Introduction -- 2 Overview of the BESSER Platform -- 2.1 B-UML Language -- 2.2 Code Generators -- 2.3 Running Example -- 2.4 Roadmap -- 3 BESSER Verticals -- 4 Discussion -- 5 Conclusion -- References -- Towards Taming Large Language Models with Prompt Templates for Legal GRL Modeling -- 1 Introduction -- 2 Challenges to Motivate Legal GRL Prompt Templates -- 3 Designing Legal GRL Prompt Templates -- 3.1 Preparations -- 3.2 Develop a Hohfeldian Model of Law -- 3.3 Generate a Legal GRL Model -- 4 Evaluation -- 4.1 Datasets for Scenarios -- 4.2 Results -- 4.3 Lessons Learned -- 5 Related Work -- 6 Conclusion and Outlook -- References -- Process Modeling with Large Language Models -- 1 Introduction -- 2 Related Work -- 3 LLM-Based Process Modeling Framework -- 3.1 Framework Overview -- 3.2 Process Representation -- 3.3 Prompt Engineering -- 3.4 Model Generation and Refinement -- 3.5 Error Handling -- 4 Evaluation -- 5 Limitations and Future Directions -- 6 Conclusion -- References -- Could a Large Language Model Contribute Significantly to Requirements Analysis? -- 1 Applying Large Language Models Despite Their Known Shortcomings -- 2 The Quasi-Experiment -- 2.1 The Quasi-Experiment's Goal and Form -- 2.2 Creation of Usable MS Word Documents Representing Three Cases -- 2.3 The Treatments -- 2.4 Execution of the Quasi-Experiment -- 3 Evaluation of Results Generated by ChatGPT-4 -- 4 Conclusions -- References -- Model-driven Engineering &amp -- AI 2 (EMMSAD 2024) -- Fast &amp -- Sound: Accelerating Synthesis-Rules-Based Process Discovery -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Approach."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"for the Design and Development of AIS -- 3.1 Domain Knowledge Dimension -- 3.2 Data Provider and Consumer Dimension -- 3.3 Analytical Requirements Dimension -- 3.4 Data Architecture Dimension -- 3.5 Data Processing and Analytics Dimension -- 4 Demonstration Case: The TPC-H Data Set -- 5 Conclusions -- References -- Modeling and Sustainability (EMMSAD 2024) -- Situational Environmental, Social and Governance Accounting: From Ethical Value Elicitation to Sustainability Reporting -- 1 Introduction -- 2 Background -- 2.1 ESG Accounting with Situational Method Engineering -- 2.2 The OpenESEA Framework for Developing ESGA ISs -- 3 Research Approach -- 4 A Meta-method for the Creation of Situational ESG Accounting Methods -- 4.1 Process Fragments -- 4.2 Product and Tool Fragments -- 4.3 Assembly Strategy and Good Practices -- 5 ESG4Orgs Evaluation -- 6 Discussion and Conclusion."]
[{"$nulls":4},"References."]
[null,null,null,"Sommario/riassunto","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."]