Journal Papers
- Wouter van der Waal, Inge van de Weerd, Iris Beerepoot, Xixi Lu, Teus Kappen, Saskia Haitjema, and Hajo A. Reijers (2024). Putting the SWORD to the Test: Finding Workarounds with Process Mining. BISE 2024. https://doi.org/10.1007/s12599-023-00846-3
Conference Papers
- Wouter van der Waal, Inge van de Weerd, Saskia Haitjema, Teus Kappen, and Hajo A. Reijers (2024). Whetting the SWORD: Detecting Workarounds by Using Active Learning and Logistic Regression. Hawaii International Conference on System Sciences 2024. https://doi.org/10125/106828
- Jochem Veldman, Xixi Lu, Wouter van der Waal, Marcus Dees, and Inge van de Weerd. (2023). Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach. Process Mining Workshops, International Conference on Process Mining 2023. https://doi.org/10.1007/978-3-031-56107-8_10
- Nesi Outmazgin, Wouter van der Waal, Iris Beerepoot, Irit Hadar, Inge van de Weerd, and Pnina Soffer. (2023). From Automatic Workaround Detection to Process Improvement: A Case Study. BPM 2023 Forum. https://doi.org/10.1007/978-3-319-19237-6_31
- Wouter van der Waal, Iris Beerepoot, Inge van de Weerd, and Hajo A. Reijers (2022). The SWORD is Mightier Than the Interview: A Framework for Semi-automatic WORkaround Detection. BPM 2022. https://doi.org/10.1007/978-3-031-16103-2_9
Other
- Wouter van der Waal, Inge van de Weerd, Iris Beerepoot, Niels Martin, and Hajo A. Reijers (2021). Workaround Mining in Health Information Systems. PODS4H abstract.