Accepted papers

EDOC First Round

The following papers have been accepted in the first round of submissions for the EDOC Main Track:

• A Reference Architecture for AI Tutor Chatbots Supporting Digital Transformation
  by Shabirin, Jean Paul Sebastian Piest, Joost van Deursen, Faiza Allah Bukhsh and Marcel Pertenbreiter

• On the Integration of Business Process Simulation and Predictive Process Monitoring
  by Robert Blümel, Keyvan Amiri Elyasi, Lukas Kirchdorfer, Peyman Badakhshan, Heiner Stuckenschmidt and Han van der Aa

• Formal Definitions of Core Concepts in Enterprise Ontology
  by Edwin de Haan, Marien Krouwel and Henderik Proper

• An Evidence-driven Protocol for Trustworthy CI Pipelines
  by Fernando Castillo, Eduardo Brito, Pille Pullonen-Raudvere, Sebastian Werner and Stefan Tai

• A Generalizable Framework for Uncertainty-Aware Process Timeline Reconstruction in Human-Centered Predictive Process Monitoring
  by Mostafa Abbasi, Viktoriia Kharchenko, Patricia Lasserre and Homayoun Najjaran

• A Process-Model-Driven Framework for Agile Software Development
  by Cielo González Moyano, Florian Six and Jan Mendling

• Towards Faster IT Delivery: Identifying Factors Increasing the Speed of Enterprise IT
  by Oleg Kanin and Paul Drews

• TrustBOM: A Scalable Architecture for Confidentiality-Preserving SBOMs Across Organizations
  by Van Thang Nguyen, Frederic Rupprecht, Tom Lawrence, Lucca Di Benedetto, Sören Schubert, Amor Rezgui, Sebastian Werner, Maria C. Borges and Stefan Tai

EDOC Second Round

• Improved Process Deviation Diagnostics through Gap-Aware Alignments
  by Simon Morr, Christopher T. Schwanen and Wil M. P. van der Aalst

• From Behavior to Breach: Modeling, Simulating and Detecting Attacks with Process Mining
  by Luca D’Este, Emil Løvstrand Mortensen, Emil Pontoppidan Rasmussen, Carlos E. Budde, Nicola Dragoni and Andrea Burattin

• Goal-Oriented Requirements Engineering for Digital Twins in Real Estate Management
  by Marianne Schnellmann, Anna-Vera Deinhammer and Henderik A. Proper

• Statistical Testing and False Discovery Rate Control for Process Deviance Mining
  by Ahmed Nour Abdesselam, Fabrizio Maria Maggi, Thomas Villgrattner, Angelika Peer and Markus Zanker

• Discovery of Decision Synchronization Patterns from Event Logs
  by Tijmen Kuijpers, Karolin Winter and Remco Dijkman

• Quality-informed Business Process Simulation
  by Samira Khraiwesh, Dogukan Dagtekin and Luise Pufahl

• A Language for Efficient Event Log Repair
  by Sareh Sadeghianasl, Remco Dijkman, Robert Andrews and Alistair Barros

• PhishLens: Explaining Phishing Through the Lens of Small Language Models
  by Javara Allah Bukhsh, Maya Daneva, Marten Van Sinderen and Giancarlo Guizzardi

• Responsible Enterprise Governance Through Enterprise Ontology
  by Shakhawan Mirza and Jan L. G. Dietz

• Digital Product Passports: A Reference Architecture for IoT-enabled Electrical and Electronic Equipment
  by Jhansi Kunapareddy, João Luiz Rebelo Moreira, Jean Paul Sebastian Piest, Frank Stiksma and Jan Van Os

• Fairness-Enhancing Pre-Processing of Event Logs with Reweighting
  by Denis Kasakow, Steven Purtzel and Kate Revoredo

• A Systematic Review on Synthetic Event Log Generation in Process Mining
  by Kerstin Haug, Holger Wittges and Stefanie Rinderle-Ma

• A Federated Knowledge Graph Architecture for Dutch Cadastral Data
  by Stefan Bussemaker, Sven Mol, Lei Wang, Alexandra Rowland and João Luiz Rebelo Moreira

• QTab: Inter-Case-Aware Remaining Time Prediction via Queuing Networks and Tabular Machine Learning
  by Keyvan Amiri Elyasi, Andrej Tschalzev, Han van der Aa and Heiner Stuckenschmidt

• Enhancing the Legibility of Sunburst Charts for Monitoring Large-Scale Object-Centric Processes
  by Lisa Arnold, Maurice Cordts and Manfred Reichert

• Explaining Data Quality Root Causes in Process Mining
  by Christian Imenkamp, Christoffer Rubensson, Svenja Plumhoff, Agnes Koschmider and Jan Mendling

• Comprehensibility as a Dual Validity Claim: Normative and Technical Design Requirements for AI-Supported Public Services.
  by Shakhawan Mirza and Jan L. G. Dietz

• Semantic Symmetry in Business Architecture: Demarcating Capability Boundaries with Object Models
  by Sefanja Severin, Ella Roubtsova, Ben Roelens, Ton van der Knaap and Remko Helms

• LIQUID: Linking Data Quality Issues to Deviations in IoT-Enhanced Process Mining
  by Christian Imenkamp, Yannis Bertrand, Lukas Malburg, Andrea Maldonado, Jari Peeperkorn, Pascal Schiessle and Agnes Koschmider

• Graph-based Version Management for Heterogeneous Engineering Artifacts
  by Vlad-Ionuț Goșa, Luís Ferreira Pires, João Rebelo Moreira and Felix Brechtken

• Exploring Fairness in Predictive Process Monitoring through Counterfactual Explanations
  by Andrei Buliga, Kate Revoredo and Massimiliano Ronzani

CBI

The following papers were accepted to the CBI Main Track:

• Data Quality Capabilities in Theory and Practice: A Comparative Analysis of US and EU Job Markets
  by Marcel Altendeitering

• Architectural Patterns and Enabling Capabilities for Agentic AI: A Systematic Literature Review
  by Bart Aarts, Rob Bemthuis, Renata Guizzardi and Sebastian Piest

• EUREQA: Assessing Information Requirements Towards Monitoring Sustainability Compliance
  by Finn Klessascheck, Julia Fries, Jan Mendling and Luise Pufahl

• Activity-Based GHG Accounting: Extending Accounting Information Systems for Planning and Control in Multi-Level Manufacturing Structures
  by Lalla Hasnae Alaoui and Walter S.A. Schwaiger

• On the Effects of Robotic Process Automation on Enterprise Architectures: A Case Study and Literature Analysis
  by Sven Erdmann and Kurt Sandkuhl

• A Design Science Research Approach to AI Compliance in Finance: Building and Evaluating a Decision Tree Compliance Checker
  by Malte Högemann, Louis Scheu, Glenn Schröer and Oliver Thomas

• Matching Privacy Requirements with Solutions
  by Yulu Wang, Sabine Oechsner and Jaap Gordijn

• Developing a Strategic Dynamic Capability Framework (SDCF) for Digital Transformation
  by Tineke Kemena, Rogier van de Wetering and Rob Kusters

• Temporal Mining of Collaborative Patterns in Human-Robot Collaboration
  by Benjamin Meier, Till Schnabel and Maria Leitner

• Cash or Comfort? Evaluating the Interaction Effect of Data Types and Incentives on Privacy-related User Evaluations in the Smart Home Domain
  by Björn Konopka and Manuel Wiesche

• Measuring Agile Agreement: Development and Validation of the Manifesto and Principle Scales
  by Nicolas Matton, Anthony Simonofski, Marie-Ange Remiche and Benoît Vanderose

• Window-Size Bias: Threats to Construct Validity and Reliability in Process Complexity Measurement
  by Lennart Ebert, Kate Revoredo, Jan Mendling and Benoît Depaire

• Bridging the Data-Knowledge Gap in Enterprises: A Design Science Approach to Interpretable Semantic Integration
  by Ayoub Labhih, Mouaad Hafsi, Aissa Toumi and Samuel Fosso Wamba

EDOC Forum

The following papers were accepted to the EDOC Forum:

• Toward Practical Decentralized Proof-of-Location via Physical Witnessing Zones
  by Tamor Tomson, Eduardo Brito, Amnir Hadachi and Ulrich Norbisrath

• AdProv: A Method for Provenance-data Capturing, Management and Visualization of Runtime Process Adaptations
  by Ludwig Stage, Mirela Riveni, Raimundas Matulevicius and Dimka Karastoyanova

• Improving Production-Ready RAG Pipelines with Architectural Enhancements: A Case Study of the Occupational Safety Expert’s AI Assistant
  by Sayan Tsydenov, Anastasiya Radaeva, Alexander Zinin, Peter Panfilov and Alexander Suleykin

• Towards an Enterprise Architecture Model Catalog for Data Analytics in Manufacturing: A Predictive Maintenance Case Analysis
  by Matthias Pohl, Christian Haertel, Daniel Staegemann and Klaus Turowski

• From Spreadsheet to Digital Accounting Twin in Activity-Based Cost & GHG Accounting
  by Walter Schwaiger

• OntoLER: Constraint-Based Diagnostics over a UFO-Grounded Conceptual-Framework Ontology
  by Ivars Blums and Hans Weigand

• Towards LLM-Assisted Quality Control of Domain Specific LLM Applications
  by Eric Müller, Niklas Götz and Kurt Sandkuhl

• Enhancing Command and Control Chat Communication Using Transformer-Based Machine Learning Models
  by Flávio Ferreira da Silva Mosafi, Luís Ferreira Pires, João Luiz Rebelo Moreira, Julio Cesar Duarte and Maria Claudia Cavalcanti

• Exploring Individual and Email Risk Factors for Phishing Susceptibility
  by Javara A Bukhsh, Maya Daneva, Marten Van Sinderen and Giancarlo Guizzardi

• A Hybrid Framework for Automatic DCAT-compliant Metadata Generation from Structured Datasets
  by Daniel Jonker, Luiz Bonino da Silva Santos and Tiago Prince Sales

• Compelled versus Merely Detectable Obligations in Autonomous AI Governance
  by Zoran Milosevic

• From Data Lakes to Data Mesh: LLM-Guided Domain Discovery
  by Ala Arman, Andrea Sepielli, Elisabetta Arba and Massimo Mecella

Journal-First

The following papers were accepted to the Journal-First track:

• A Domain-specific Language and Architecture for Detecting Process Activities from Sensor Streams in IoT
  by Ronny Seiger, Daniel Locher, Marco Kaufmann and Aaron Friedrich Kurz

• Conceptual Modeling Education: A Bibliometric Literature Review and Avenues for Future Research
  by Ilia Maslov, Stephan Poelmans and Kristina Rosenthal

• Event abstraction for social process mining in Enterprise Collaboration Systems: A supervised machine learning approach for converting low-level event logs into high-level event logs
  by Jonas Blatt, Patrick Delfmann, Petra Schubert and Martin Just

• Trimodal Thinking for Architecting Human-Centric AI Systems: Fast, Slow, and Control
  by Asif Gill

Tools & Demos

The following papers were accepted to the Tools & Demos track:

• Demarcating Capability Boundaries in Practice: The COVO Validator for ArchiMate
  by Sefanja Severin, Ben Roelens, Ella Roubtsova and Remko Helms

• AdAPTR: A Tag-Based Recommendation Tool for Personality-Aware Agile Practice Adaptation
  by Nicolas Matton and Benoît Vanderose

• A ProM Plug-in for Trend Deviation Detection
  by Jalves Nicácio and Sylvain Hallé

Doctoral Consortium

The following papers were accepted to the Doctoral Consortium:

• Towards a Reference Architecture for Freight Mobility as a Service
  by Mina Attaran

• On the Performance Impact of Utilizing Edge Computing for Decentralized Process Mining Algorithms via EdgeAlignments
  by Hendrik Reiter

• Toward Explainable Agentic Decision Support for Predictive Process Monitoring in IT Service Management
  by Achraf Azzez

• Enriching Business Model Analysis for Energy Communities with a Regulatory Assessment
  by Duc-Minh-Quan Huynh

• Monitoring, Analyzing, and Improving Doctoral Learning Trajectories Using LLMs and Process Mining
  by Tosif Ul Rhman