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Persoonlijk profiel

Research profile

Boudewijn van Dongen is a full Professor in computer science and chair of the Process Analytics group at Eindhoven University of Technology (TU/e). The research group distinguishes itself in the Information Systems discipline by its fundamental focus on modeling, understanding, analyzing, and improving processes. Boudewijn’s research focuses on conformance checking: anything where observed behavior needs to be related to previously modeled behavior. Conformance checking is embedded in the larger contexts of Business Process Management and Process Mining.

Boudewijn aims to develop techniques and tools to analyze databases and logs of large-scale information systems for the purpose of detecting, isolating, diagnosing and predicting misconformance in the business processes supported by these systems. The notion of alignments play a seminal role in conformance checking and the AIS group is world-leading in the definition of alignments for various types of observed behavior and for various modelling languages. Next to the theoretical foundations, he also develops the tools to actually measure conformance. These tools are typically implemented in Java in the open-source framework ProM.

Academic background

Boudewijn van Dongen obtained his MSc in Computer Science and his PhD in Process Mining and Verification from TU/e in 2003 and 2007 respectively. He is playing a leading role in several projects set up with his group. These include develop new techniques to deal with massive event data, developing novel techniques and tools to analyze software systems in vivo, a long-term strategic cooperation with Philips Research Eindhoven on data science, health and lighting and process mining in logistics at logistics company Vanderlande.

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Projecten 2018 2021

Onderzoeksoutput 2002 2019

A general framework to identify software components from execution data

Liu, C., van Dongen, B. F., Assy, N. & van der Aalst, W. M. P., 5 mei 2019, ENASE 2019 - Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering. Spanoudakis, G., Damiani, E., Maciaszek, L. & Maciaszek, L. (redactie). SCITEPRESS-Science and Technology Publications, Lda., blz. 234-241 8 blz.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Reverse engineering
Software architecture
Recovery

Detecting behavioral design patterns from software execution data

Liu, C., van Dongen, B. F., Assy, N. & van der Aalst, W. M. P., 29 jun 2019, Evaluation of Novel Approaches to Software Engineering - 13th International Conference, ENASE 2018, Revised Selected Papers. Damiani, E., Spanoudakis, G. & Maciaszek, L. A. (redactie). Cham: Springer, blz. 137-164 28 blz. (Communications in Computer and Information Science; vol. 1023)

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Design Patterns
Software System
Software
Process Mining
State Observer

Efficiently computing alignments: algorithm and datastructures

van Dongen, B. F., 29 jan 2019, Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Daniel, F., Sheng, Q. Z. & Motahari, H. (redactie). Springer, blz. 44-55 12 blz. (Lecture Notes in Business Information Processing; vol. 342)

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Data Structures
Alignment
Time Complexity
Computing
Data storage equipment

Enabling efficient process mining on large data sets: realizing an in-database process mining operator

Dijkman, R., Gao, J., Syamsiyah, A., van Dongen, B., Grefen, P. & ter Hofstede, A., 19 mei 2019, In : Distributed and Parallel Databases.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Open Access
Mathematical operators
Process mining
Data base
Operator
Algebra

Improving alignment computation using model-based preprocessing

Syamsiyah, A. & van Dongen, B. F., 1 jun 2019, Proceedings - 2019 International Conference on Process Mining, ICPM 2019. Piscataway: Institute of Electrical and Electronics Engineers, blz. 73-80 8 blz. 8786043

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Benchmarking
Labels
Alignment
Process model
Violations

Datasets

Cursussen

DBL Process mining

1/09/18 → …

Cursus

Introduction to process mining

1/09/15 → …

Cursus

Process modeling and simulation

1/09/18 → …

Cursus

Scriptie

A benchmark set for process discovery algorithms

Auteur: van Arendonk, R., 30 apr 2011

Begeleider: van Dongen, B. (Afstudeerdocent 1)

Scriptie/masterproef: Master

Bestand

A comparison of Android Native App Architecture: MVC, MVP and MVVM

Auteur: Lou, T., 31 okt 2016

Begeleider: van Dongen, B. (Afstudeerdocent 1) & Saikonnen, H. (Externe persoon) (Externe coach)

Scriptie/masterproef: Master

Bestand

Alignment-based process model repair and its application to the evolutionary tree miner

Auteur: van Eck, M., 31 dec 2013

Begeleider: van Dongen, B. (Afstudeerdocent 1), Fletcher, G. (Afstudeerdocent 2) & Wilbik, A. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Bestand

A multi-aspect reference architecture for a business process cloud platform

Auteur: Stoitsev, V., 31 dec 2012

Begeleider: Grefen, P. (Afstudeerdocent 1), van Dongen, B. (Afstudeerdocent 2) & van der Starre, E. (Externe persoon) (Externe coach)

Scriptie/masterproef: Master

Bestand

Anomaly detection on event logs: an unsupervised algorithm on iXR-messages

Auteur: Severins, J., 30 jun 2016

Begeleider: van Dongen, B. (Afstudeerdocent 1)

Scriptie/masterproef: Master

Bestand