Program
The timezone of the program is CEST ( UTC+2 Observing Daylight Saving Time )
i* - Session 1: 13:30 - 15:00 CEST. Session chair - Marcela Ruiz
Keynote: 13:30 - 14:40
Conceptual Modelling Languages: Origin, Utilization and Impact. by Dimitris Karagiannis.
Keynote slides: https://www.omilab.org/activities/events/istar2021_ws/
Abstract. In this talk, the origin of conceptual modelling languages as the adequate vocabulary for knowledge representation and processing is introduced. The conceptualization process is required to enable machine interpretation of these languages. For that it is necessary to understand how these are conceptually structured. The “Purpose-Specificity Framework” is discussed as an instrument to classify the utilization, considering propagation techniques of domain semantics and model-value functionalities. Impact in the sense of scientific/commercial uptake is closely related to the purpose of the language, linked to the application needs. Cases from the OMiLAB Community of Practice (www.omilab.org) are presented to explain the applicability of the framework and to discuss further research directions.
Brief Biography. Dimitris Karagiannis is a full professor for Business Informatics at the University of Vienna since 1993, leading the Research Group Knowledge Engineering (www.dke.univie.ac.at). He received his PhD degree from the Technical University Berlin in 1987. The same year he joined the Research Institute for Application-oriented Knowledge Processing in Ulm as division head for “Enterprise Information Systems”. He holds an honorary professorship from the Babes-Bolyai University in Cluj-Napoca, Romania. His research interests include meta-modelling, knowledge engineering, business process management, enterprise architecture management and artificial intelligence techniques. The industrial application of his meta-modelling research was demonstrated within the BOC Group (www.boc-group.com), an international software- and consulting company, founded in 1995. The scientific applications of his research impacts the Open Models Laboratory—OMiLAB (www.omilab.org), established as a non-profit organization since 2018, located in Berlin/Germany.
Paper session: 14:40 - 15:00 CEST
(10 min presentation + 10 min discussion per paper)
Yunduo Wang, Jinlian Du and Tong Li. A learner-friendly approach for using iStar modeling framework: an ongoing study
i* - Session 2: 15:30 - 17:00 CEST. Session Chair - Tong Li
Panel session: 15:30 - 16:40 CEST. Panel Chair: Eric Yu
Next Generation Social Modeling - Towards a Research Agenda
Panelists: Fabiano Dalpiaz (slides), Daniel Amyot (slides), Tong Li (slides), and Raian Ali (slides).
Panel intro slides https://bit.ly/3lPzlY3
Google doc for collaboration https://bit.ly/3AMUHti ;
The objective of the panel is to build momentum and promote collaboration as we develop a research agenda for next generation social modeling. Since the inception of i*, the world has become much more digitalized. Software has become so much more integral to everyday life. Software has become intensely “social” in numerous applications – from being more personal (e.g., targeted advertising, smart homes and smart cities, companionship seeking) to having impact on a societal and even global scale (e.g., social media influencing elections and public health outcomes). While the basic concepts of i* may still be useful in these settings, it is high time to consider whether a major upgrade is in order, and what that upgrade should aim to achieve. The panel will refrain from envisioning a next-gen i*/iStar. Instead the focus will be on identifying and discussing the types and nature of social phenomena or characteristics that a next generation social modeling framework should be able to express and reason about. Examples of such characteristics may include emotions and values, learning and unlearning, individual and group identity, various kinds of temporal dynamics, etc., characteristics relevant for the requirements analysis of today’s socially-intense software systems. We will defer discussion of various approaches for responding to these modeling challenges, so as not to preclude next-gen modeling techniques that differ substantially from i*. We also do not want to prejudge whether the full set of social characteristics we identify can or cannot, and should or should not be accommodated within a single next-gen modeling language or framework. We aim to work towards an initial roadmap for next generation social modeling. One possible mechanism to advance this agenda collectively is to develop a set of challenge problems with detailed exemplars which research groups can use to demonstrate and compare their proposed modeling approaches and techniques. We hope to kick start the process of identifying candidate exemplars together with workshop participants during the panel.
Paper session: 16:40 - 17:00 CEST. Chair: Tong Li
(10 min presentation + 10 min discussion per paper)
Enyo Gonçalves and Ingrid Monteiro. Reporting the usage of iStar in a model-based industrial project to evolve an e-commerce application
i* - Session 3: 17:30 - 19:00 CEST.
Paper session: Session chair: Vik Pant
(10 min presentation + 10 min discussion per paper)
3. Chunhui Wang, Chao Wu, Tong Li and Zhiguo Liu. A Preliminary Framework for Constructing iStar Models from User Stories
4. Yilong Yang, Younggi Bok, Zhuoxi Yang, Eric Sheriff and Tong Li. Goal2UCM: Automatic Generation of Use Case Model from iStar Model
5. Xavier Franch. Extending iStar2.0 metamodel to define data structures
6. Jorge Andre Salcedo Hurtado, Manuel Humberto Velarde Flores, Alexander Junior Monzon Montalvo, Claudia Luz Rojas Soto, Milagros Yarahuaman Rojas, Luis Augusto Araujo Lechuga and Roxana Portugal. Modeling Non-Functional Requirements of a Reactive System
i* - Session 4: 19:30 - 21:00 CEST.
Paper session: Session chair: Vik Pant
(10 min presentation + 10 min discussion per paper)
7. Mohamed Abdel-Monem, Mahmoud Mansour, Islam El-Maddah and Hani Mahdi. Strategy Assessment using Goal Models: Software Industry as a Case Study Example
8. Rene Noel, Jose Ignacio Panach Navarrete, Marcela Ruiz and Oscar Pastor Lopez. Beyond Conventional Model-Driven Development: From Strategy to Code
9. Jose Manuel Barrera, Alejandro Reina, Alejandro Mate and Juan Carlos Trujillo. Applying i* in conceptual modelling in machine learning
10. Christophe Ponsard, Valery Ramon and Mounir Touzani. Improving Cyber Security Risk Assessment by Combined Use of i* and Infrastructure Models
Closing and final comments by Vik Pant (10 minutes)