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https://ceur-ws.org/Vol-3936/iStar24_preface.pdf
Preface
The iStar workshop series is dedicated to the discussion of concepts, methods, techniques,
tools, and applications associated with i* (iStar) and related goal modelling frameworks and
approaches (Tropos, GRL, among others). As in previous editions, the objective of the workshop
is to provide a unique opportunity for researchers in the area to exchange ideas, compare notes,
promote interactions, and forge new collaborations. Expected outcomes include the
communication of early results and new ideas to fellow researchers for feedback, the
identification of the current problems and promising future research directions and the fostering
of awareness, collaboration, and interoperability in the area of tool development.
The iStar’24 workshop is the latest of seventeen (17) successful editions beginning in Trento
in 2002, and followed by London (2005), Recife (2008), Hammamet (2010), Trento (2011),
Valencia (2013), Thessaloniki (2014), Ottawa (2015), Beijing (2016), Essen (2017), Tallinn
(2018), Salvador (2019), Zürich (2020), St. John’s (2021), Hyderabad (2022) and Hannover
(2023). This year, the workshop ran in conjunction with the 43rd International Conference on
Conceptual Modeling (ER 2024), following previous tradition of holding it with ER every other
year benefitting from the common themes and interests shared by the two events.
In line with the ER’24 conference theme “Conceptual Modeling, AI, and Beyond”, this edition of
the iStar workshop series sought to explore what the relevance is of goal modeling to the
implementation of AI-intensive systems, or, reversely, how data-driven AI can support,
automate, and validate the goal modelling effort. For example, can goal modeling help us
describe, analyze, and address key problems in AI safety and regulation? Can it be the basis of a
requirements- and user-centered AI engineering discipline? What is the role of LLMs in
producing and interacting with models of stakeholder goals? Do LLMs and other deep learning-
based systems have an explicable intentional structure? Where does it come from, how can we
extract it, and how can we relate it to the socio-technical context in which such systems are
developed and deployed?
The workshop format aims to promote interaction and inclusivity. iStar’24 prioritizes
relevance and discussion potential for paper acceptance. A 20-member program committee of
experts reviewed four (4) submitted papers, each evaluated by three reviewers. As all met the
criteria, they were accepted for presentation. The revised versions are included in these
proceedings. The papers cover a variety of topics relating to i*: an i*-based language for
requirements modeling and elicitation for explainable AI (Navarro et al.), a study on the
application of goal modeling to specify human-robot collaborations (Raja and Daun), a technique
for generating iStar models using ChatGPT (Hirabayashi and Saeki) and the application of agent-
orientated modeling for analyzing goal conflicts in decision points within ML design processes
(Sothilingam and Yu).
The iStar’24 event opened with a keynote by Prof. Renata Guizzardi and Prof. Giancarlo
Guizzardi, from the University of Twente, entitled “Ontology-Based Requirements Engineering:
The Case of Ethicality Requirements”. Presentation of the four papers ensued, each allotted 25
minutes for presentation and discussion. The workshop closed with a panel discussion, in which
Prof. Travis D. Breaux (Carnegie Mellon University), Prof. Giancarlo Guizzardi (University of
Twente), and Prof. Eric Yu (University of Toronto), exchanged views on the general topic of
“Opportunities and Challenges for GORE in the era of Learning-based AI”. A report from the
discussion has been compiled and included in these proceedings.
CEUR
ceur-ws.org
Workshop ISSN 1613-0073
Proceedings
We would like to extend our gratitude to the authors for their submissions and to the Program
Committee members for their expertise and constructive feedback. We also appreciate the
support of the ER 2024 conference and workshop organizers. Finally, our gratitude goes to the
iStar steering committee for their dedication, ideas, and efforts in bringing the iStar community
together.
Pittsburgh, PA, USA, Oct 28th, 2024
Elda Paja, Amal Ahmed Anda, Sotirios Liaskos (iStar’24 Co-chairs)
Organizing Committee
Amal Ahmed Anda, University of Ottawa, Canada
Sotirios Liaskos, York University, Canada
Elda Paja, IT University of Copenhagen, Denmark
Steering Committee
Xavier Franch, Universitat Politècnica de Catalunya, Spain
John Mylopoulos, University of Ottawa, Canada
Eric Yu, University of Toronto, Canada
Program Committee
Raian Ali, Hamad Bin Khalifa University, Qatar
Fatma Başak Aydemir, Boğaziçi University, Turkey
Evellin Cardoso, Federal University of Goias, Brazil
Juan Pablo Carvallo, Universidad del Azuay, Ecuador
Jaelson Castro, Universidade Federal de Pernambuco, Brazil
Fabiano Dalpiaz, Utrecht University, The Netherlands
Enyo Gonçalves, Universidade Federal do Ceará, Brazil
Alexei Lapouchnian, Synthetic Intelligence Forum, Canada
Maria Lencastre, Escola Politécnica de Pernambuco - UPE, Brazil
Tong Li, Beijing University of Technology, China
Lin Liu, Tsinghua University, China
Lidia Lopez, Barcelona Supercomputing Center, Spain
Haralambos Mouratidis, University of Essex, UK
Gunter Mussbacher, McGill University, Canada
Oscar Pastor, Universidad Politécnica de Valencia, Spain
Michalis Pavlidis, University of Brighton, UK
Luca Piras, Middlesex University, UK
Roxana Portugal, Ludwig-Maximilians-Universität München, Germany
Nauman Ahmed Qureshi, Munster Technological University, Ireland
Marcela Ruiz, Zurich University of Applied Sciences, Switzerland
Angelo Susi, Fondazione Bruno Kessler-Irst, Italy
Juan Trujillo, University of Alicante, Spain
Jelena Zdravkovic, Stockholm University, Sweden