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https://ceur-ws.org/Vol-3139/preface.pdf
Proceedings of the Doctoral Consortium Papers at the 34th
International Conference on Advanced Information Systems
Engineering (CAiSE 2022)
Conference hosted by KU Leuven in collaboration with Ghent University, Belgium, 6-10 June 2022,
Leuven 2022.
Edited by
Amy Van Looy 1, Barbara Weber 2 and Michael Rosemann 3
1
Ghent University, Tweekerkenstraat 2, 9000 Ghent, Belgium
2
University of St. Gallen, Rosenbergstrasse 30, 9000 St. Gallen, Switzerland
3
Queensland University of Technology, 2 George Street, Brisbane Qld 4000, Australia
CAiSE 2022
Doctoral Consortium Papers
Proceedings
This volume of CEUR-WS Proceedings contains 10 Doctoral Consortium papers presented at the
34th International Conference on Advanced Information Systems Engineering (CAiSE 2022). The
conference was held in Leuven, Belgium, 6 – 10 June 2022.
Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume
as a collection by its editors. This volume and its papers are published under the Creative Commons
License Attribution 4.0 International (CC BY 4.0).
CEUR-WS.org, ISSN 1613-0073
Preface
This volume of CEUR-WS proceedings contains the accepted papers of the Doctoral Consortium,
held in conjunction with the 34th International Conference on Advanced Information Systems
Engineering (CAiSE 2022). This edition of CAiSE was organized as a collaboration between KU
Leuven and Ghent University, which took place in Leuven (Belgium) between June 6th and 10th. We
were delighted that this conference and all collocated events were organized again in the engaging
atmosphere of a face-to-face setting after having experienced a long series of COVID-19 pandemic
lockdowns worldwide.
The CAiSE conference is known for being the premier venue concerning innovative and rigorous
research across the broad spectrum of information systems engineering. Its Doctoral Consortium is well
appreciated in this community as being one of the first events that allow its PhD candidates to enter the
community. Junior research students are offered a comfortable setting to experience and further
improve their writing and presentation skills, while getting the opportunity to discuss their research
plans with senior researchers (mentors) and to network with likeminded students. Besides an emphasis
on gathering constructive feedback, the Doctoral Consortium provides a platform to explore and reflect
on issues regarding methodology, research-related topics, supervision and career-related aspirations.
The CAiSE 2022 Doctoral Consortium received a total of 14 submissions, all of which have been
reviewed by two senior researchers acting as mentors in the field. With an acceptance rate of 71%, ten
papers have been accepted and selected to be presented during this event as well as to be included in
these proceedings. The invited PhD candidates received timely and relevant feedback, which needed to
be addressed when preparing for the proceedings and presentations.
The Doctoral Consortium started with a keynote by Professor Han van de Aa (University of
Mannheim), who shared his experience in pursuing a PhD and the next steps after his PhD life. His
reflection on his PhD journey and follow-up trajectory (including related hurdles) were an authentic,
inspirational and educational briefing for all participants. Moreover, the Doctoral Consortium chairs
shared relevant research design and methodology experiences.
In the second part of the Doctoral Consortium, the PhD students’ presentations were held in two
sessions during which the PhD candidates talked to their assigned mentors in search for valuable advice
and recommendations to further improve their PhD proposals. Lively peer-to-peer interactions
complemented these discussions and allowed all participants to interact with and to learn from each
other.
We would like to express our gratitude to all mentors involved in the reviewing process. Especially,
we would like to thank them for attending the Doctoral Consortium and their valuable comments during
the event. While we acknowledge the PhD participants for their active contributions, we would also
like to thank all those candidates who submitted their work but unfortunately did not get selected. We
wish all PhD candidates a rewarding and productive continuation of their PhD journey. Finally, we are
grateful to the CAiSE 2022 conference organizers (in particular Prof. dr. Monique Snoeck and Prof. dr.
Frederik Gailly) for supporting this event and for arranging the logistical and administrative side of this
Doctoral Consortium.
June 2022
Amy Van Looy
Barbara Weber
Michael Rosemann
Doctoral Consortium Organization
Doctoral Consortium Chairs
Amy Van Looy Ghent University, Belgium
Barbara Weber University of St. Gallen, Switzerland
Michael Rosemann Queensland University of Technology, Australia
Doctoral Consortium Mentors
Sjaak Brinkkemper Utrecht University, the Netherlands
François Charoy Université de Lorraine – LORIA – Inria, France
John Krogstie Norwegian University of Science and Technology, Norway
Selmin Nurcan Université Paris 1 Panthéon – Sorbonne, France
Oscar Pastor Universidad Politécnica de Valencia, Spain
Jolita Ralyté University of Geneva, Switzerland
Pnina Soffer University of Haifa, Israel
Jelena Zdravkovic Stockholm University, Sweden
Table of Contents
Session 1. Intelligence and Mining
Towards Better Data Selection for Self-Service Business Intelligence Outputs: a Local Authorities Case
Study 1
Mathieu Lega
Process-Aware Attack-Graphs for Risk Quantification and Mitigation in Industrial Infrastructures
11
Gal Engelberg
The Management of Artificial Intelligence: Developing a Framework Based on the Artificial
Intelligence Maturity Principle 19
Philipp Fukas
Complex Behaviours Detection and Analysis in Process Mining 28
Yang Lu
Probabilistic and Non-deterministic Event Data in Process Mining: Embedding Uncertainty in Process
Analysis Techniques 37
Marco Pegoraro
Session 2. Agility, Models and Architecture
A New Definition of Unambiguous User Stories: a Proposed Framework to Identify and Avoid
Ambiguity in User Stories 47
Anis Amna
The MERLIN Method to Create Modeling Assistants for Model-Driven Development Tools 54
David Mosquera
A Reference Framework for Agile Transformation in Public Administration 62
Hanna Looks
Strategy Execution through Enterprise Architecture: Capability-based Management as a Foundation for
Successful (Digital) Transformations 69
Jonas Van Riel
Sensemaking in Multi-artefact Information Tasks 77
Tianwa Chen