Article
Multidisciplinary Sciences
Reema Choudhary, Nauman Riaz
Summary: Software reverse engineering and reengineering are now common in games and website development. Simulations and modeling are crucial for understanding the overall system flow. Business process modeling notation (BPMN) is used to illustrate business process architecture. Simulated business process reengineering is necessary for implementing change or creating new processes. This framework introduces a method to convert simulation models to BPMN using the concept of reverse engineering, followed by reengineering to build a BPMN model from the simulation model. The framework includes model translation, mapping, and formation.
Article
Computer Science, Software Engineering
Ana Ivanchikj, Souhaila Serbout, Cesare Pautasso
Summary: BPMN Sketch Miner is a modeling environment that generates visual business process models from constrained natural language input, supporting rapid model editing and real-time synchronization. User studies and surveys confirm that it performs well in meeting user requirements, with the execution time of the text-to-visual pipeline growing linearly with the model size.
SOFTWARE AND SYSTEMS MODELING
(2022)
Article
Computer Science, Information Systems
Muhammad Adeel Zahid, Basit Shafiq, Jaideep Vaidya, Ayesha Afzal, Shafay Shamail
Summary: This article presents an approach based on association analysis to resolve faults in a user developed BP by utilizing information from existing fault-free BPs that use similar services. Extensive experimental evaluation shows the effectiveness of this approach.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Computer Science, Information Systems
Ayesha Afzal, Basit Shafiq, Shafay Shamail, Abeer Elahraf, Jaideep Vaidya, Nabil R. Adam
Summary: The paper proposes an approach for collaborative BP development that utilizes attribute and structural similarity as well as semantic information of operations to overcome syntactic and semantic heterogeneity among Web service operations across organizations. Experimental evaluation with real world data from e-commerce sales BPs demonstrates the effectiveness of the approach.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Computer Science, Theory & Methods
Xavier Oriol, Giuseppe De Giacomo, Montserrat Estanol, Ernest Teniente
Summary: The paper advocates for separating constraint handling from activity specification in artifact-centric business process models, proposing an approach to automatically generate updates to repair constraint violations caused by activity execution.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Theory & Methods
Flavio Corradini, Alessandro Marcelletti, Andrea Morichetta, Andrea Polini, Barbara Re, Francesco Tiezzi
Summary: In modern business scenarios, organisations are facing the critical requirements of trustworthiness and flexibility in multi-party business processes. The Business Process Management discipline provides standardised solutions for collaboration, while blockchain technology guarantees trust in a multi-party setting. However, the immutability of blockchain hinders the flexibility of business process execution. This paper proposes an architecture for the flexible blockchain-based execution of multi-party business processes, achieving flexibility by decoupling business logic from the execution state stored in the blockchain.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Tomas Skersys, Paulius Danenas, Egle Mickeviciute, Rimantas Butleris
Summary: This paper presents an approach for extracting SBVR process rules from BPMN processes using model-to-model transformation technology. The experimental results show that the specified transformation rules and algorithms are sufficient for the given scope, providing a solid background for practical application and future developments of the solution.
APPLIED SCIENCES-BASEL
(2022)
Review
Business
Diego Toralles Avila, Rubens Ideron dos Santos, Jan Mendling, Lucineia Heloisa Thom
Summary: This article identifies and selects 45 process modeling guidelines through a systematic literature review, providing guidance for practitioners and scholars on which guidelines to use while modeling a process. The analysis also examines the empirical evidence and variables associated with each guideline.
BUSINESS PROCESS MANAGEMENT JOURNAL
(2021)
Article
Computer Science, Information Systems
Roaa A. ElGhondakly, Sherin M. Moussa, Nagwa L. Badr
Summary: Web services composition has become a crucial area in computing industries, but it faces challenges in modeling dependencies, complexity, user requests handling, and scalability concerns. This paper proposes a graph-based modeling approach called Mutual Information-based Services Dependency (MISD) model, which constructs accurate services dependency graphs using a modified version of mutual information as the dependency metric. The experimental analysis shows significant improvement in efficiency and accuracy compared to state-of-the-art models.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Business
Dae-Kyoo Kim, Yeasun K. Chung
Summary: The authors introduce the role-based Business Process Model and Notation (R-BPMN) as an extension of BPMN to abstractly model business process patterns. They demonstrate the practical benefits of R-BPMN in capturing pattern variability and facilitating pattern reuse through case studies and tool support. The potential impact of R-BPMN on practical benefits is highlighted when supported at the metamodel level in tool development.
BUSINESS PROCESS MANAGEMENT JOURNAL
(2021)
Article
Business
Hana Tomaskova, Erfan Babaee Tirkolaee, Rakesh Dulichand Raut
Summary: Managers play a critical role in decision-making by considering their organization's needs, goals, and objectives. It is important for them to have prior knowledge to correctly apply written material produced before or after the issue it addresses. Our study demonstrates that fundamental business process analysis and reengineering can improve decision-making processes by assessing and redesigning procedures. By using this approach, managers can ensure their organization's objectives are met while enhancing efficiency and productivity.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Computer Science, Information Systems
Marcia Tavares Garcia, Marina Macedo Nunes, Marcelo Fantinato, Sarajane Marques Peres, Lucineia Heloisa Thom
Summary: This article proposes a structural similarity technique called BPMN-Sim for Business Process Model and Notation (BPMN). It considers multiple subprocess levels and supports all elements of BPMN 2.0.2. The technique improves sensitivity to differentiate BPMN from other process modeling notations and avoids sparseness and inefficiency. The empirical validation shows a strong positive correlation between the proposed technique and practitioner evaluations.
INFORMATION SYSTEMS
(2023)
Article
Computer Science, Theory & Methods
Leila Amdah, Naima Essadi, Adil Anwar
Summary: Model Driven Engineering aims to provide a flexible framework for defining interconnected systems and reducing complexity in application development. In collaborative environments, the MDA approach is considered effective in maintaining and developing systems.
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
(2021)
Article
Neurosciences
Karl-David Boutin, Christopher Davis, Alan Hevner, Pierre-Majorique Leger, Elise Labonte-LeMoyne
Summary: Business process models are important tools in design activities, but certain aspects of conceptual business modeling still need to be further explored. Experts and novices show different attentional characteristics in error detection tasks, highlighting the need to study how to train business analysts in designing and evaluating conceptual models.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Computer Science, Hardware & Architecture
Rui Calheno, Paulo Carvalho, Solange Rito Lima, Pedro Rangel Henriques, Mateo Ramos Merino
Summary: BPMN-E-2 was proposed to address the limitations of BPMN in specific domains. A multiperspective conformance checking algorithm and an event log clustering technique were developed to improve the accuracy and efficiency of conformance checking in process modelling. These contributions are significant for enhancing the conformance checking process.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Computer Science, Information Systems
Veronika Plotnikova, Marlon Dumas, Alexander Nolte, Fredrik Milani
Summary: The implementation of data mining projects in complex organisations requires well-defined processes. Standard data mining processes, such as CRISP-DM, have gained broad adoption over the past two decades. However, numerous studies demonstrated that organisations often do not apply CRISP-DM and related processes as-is, but rather adapt them to address industry-specific requirements. This paper addresses the gap by designing and evaluating a Financial Industry Process for Data Mining (FIN-DM) that adapts and extends CRISP-DM to address regulatory compliance, governance, and risk management requirements inherent in the financial sector, and to embed quality assurance as an integral part of the data mining project life-cycle. The framework has been iteratively designed and validated with data mining and IT experts in a financial services organisation.
JOURNAL OF BUSINESS ANALYTICS
(2023)
Editorial Material
Computer Science, Information Systems
Wil M. P. van der Aalst, Oliver Hinz, Christof Weinhardt
BUSINESS & INFORMATION SYSTEMS ENGINEERING
(2023)
Article
Computer Science, Information Systems
Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Summary: This article addresses the problem of anonymizing event logs while preserving their utility, proposing a differentially private release mechanism that samples cases and adds noise to timestamps. An empirical comparison with state-of-the-art approaches using real-life event logs demonstrates the advantages of the proposed method in terms of data utility loss and computational efficiency.
INFORMATION SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Luciana Barbieri, Edmundo Madeira, Kleber Stroeh, Wil van der Aalst
Summary: Despite recent advances in process mining, making it accessible to non-technical users remains a challenge. To democratize this technology, a natural language querying interface is proposed to allow users to retrieve relevant information and insights about their processes by asking questions in plain English. A reference architecture is proposed to support natural language questions and provide the right answers by integrating with existing process mining tools.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Voelzer, Ingo Weber
Summary: AI-augmented Business Process Management Systems (ABPMSs) are a new class of process-aware information systems empowered by trustworthy AI technology. These systems aim to improve the execution of business processes by making them more adaptable, proactive, explainable, and context-sensitive. This manifesto presents a vision for ABPMSs and discusses the research challenges that need to be overcome to achieve this vision. It defines the concept of ABPMS, outlines the lifecycle of processes within an ABPMS, discusses core characteristics, and identifies challenges for realizing systems with these characteristics.
ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS
(2023)
Article
Mathematics
Wil M. P. van der Aalst
Summary: Traditional process modeling and analysis methods focus on one type of object per event, but in reality, events often involve multiple objects of different types. Object-centric process mining takes a more holistic approach by considering multiple object types and events. This paper introduces object-centric event data and demonstrates their use in discovering, analyzing, and improving complex processes.
Article
Automation & Control Systems
Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst
Summary: This paper presents a method to preserve the graph structure of object-centric event data in process mining using machine learning techniques. Two different techniques are provided to preserve these structures, and their performances are evaluated in predictive process monitoring tasks. Different graph embedding techniques for object-centric event logs are compared for future research and deployment.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Gyunam Park, Wil M. P. van der Aalst
Summary: Constraint monitoring aims to detect constraint violations in business processes by analyzing event data. However, existing techniques assume a single case notion and fail to consider the interaction of multiple objects in the processes. In this work, we propose an approach using Object-Centric Constraint Graphs (OCCGs) to represent and evaluate constraints in object-centric business processes. We conducted case studies with a real-life SAP ERP system to validate the proposed approach.
PROCESS MINING WORKSHOPS, ICPM 2022
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Majid Rafiei, Frederik Wangelik, Wil M. P. van der Aalst
Summary: In the field of industrial process mining, the importance of privacy-preserving event data publication is increasing. However, the trade-off between data utility and privacy poses challenges. Existing research focuses on differentially private trace variant construction, but faces limitations such as complexity, fake variants, removal of frequent variants, and bounded variant length. This paper introduces a new approach using anonymized partition selection strategies to overcome these limitations and outperforms existing methods in terms of data utility and result preservation.
PROCESS MINING WORKSHOPS, ICPM 2022
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
Summary: The aim of this study is to develop a normative model representing the clinical guidelines for COVID-19 patients in the ICU ward of a hospital in Germany, and analyze the adherence of observed behavior to these guidelines. The results show that analysis using conformance checking techniques can identify main deviations from the guidelines and provide useful indications for improving the care process. The resulting model is shared as an open-source BPMN file.
PROCESS MINING WORKSHOPS, ICPM 2022
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Harry H. Beyel, Wil M. P. van der Aalst
Summary: Event logs capture information about executed activities, but not about enabled but not executed activities. Translucent event logs contain information on enabled activities. We propose two techniques to increase the availability of translucent event logs. The first technique records system states as snapshots and links them to events, adding information about enabled activities. The second technique uses a process model to add information about enabled activities to existing event logs, improving process discovery.
PROCESS MINING WORKSHOPS, ICPM 2022
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, Wil M. P. van der Aalst
Summary: When multiple objects are involved in a process, object-centric event logs are an interesting development in process mining as they support the presence of multiple types of objects. However, the current object-centric event log formats do not fully support dynamic object attributes. This paper introduces the Data-aware OCEL format, along with an algorithm that automatically translates XES logs to this format, addressing the issues present in the existing formats.
PROCESS MINING WORKSHOPS, ICPM 2022
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Tsung-Hao Huang, Wil M. P. van der Aalst
Summary: Process discovery aims to learn process models from observed behaviors in information systems. The discovered models serve as the starting point for process mining techniques to address performance and compliance problems. The algorithm applying synthesis rules from the free-choice net theory can discover process models with flexible structures while ensuring desirable properties. The proposed ordering strategy improves the quality of resulting process models and reduces computation time compared to frequency-based ordering strategy.
SERVICE-ORIENTED COMPUTING - ICSOC 2022 WORKSHOPS
(2023)
Review
Computer Science, Information Systems
Majid Rafiei, Wil M. P. van der Aalst
Summary: Process awareness is crucial for business success, and process mining is a powerful tool to discover and analyze actual business processes using event data. However, privacy concerns in inter-organizational settings hinder the sharing of event data and processes between partner organizations. This paper proposes an abstraction-based approach to enable privacy-aware process mining in such settings, addressing the challenges of collaboration and confidentiality.
Article
Computer Science, Interdisciplinary Applications
Gyunam Park, Daniel Schuster, Wil M. P. van der Aalst
Summary: As business environments become more competitive, organizations strive to improve their business processes to reduce costs and increase quality and productivity. In this study, we propose an action engine that automatically generates action plans by analyzing monitoring results to address operational problems in business processes.
COMPUTERS IN INDUSTRY
(2023)
