Sun 23 - Fri 28 October 2022 Montréal, Canada
Wed 26 Oct 2022 15:52 - 16:15 at A-4502.1 - Foundations II Chair(s): Bran Selic

Software-intensive systems are increasingly used to support tasks that are typically characterized by high degrees of uncertainty. The modeling notations employed to design, verify, and operate such systems have increasingly started to capture different types of uncertainty, so that they can be explicitly considered when systems are developed and deployed. While these modeling paradigms consider different sources of uncertainty individually, these sources are rarely independent, and their interactions affect the achievement of system goals in subtle and often unpredictable ways. Our article describes the problem of uncertainty interaction in software-intensive systems, illustrating it on examples from relevant application domains. We then identify key open challenges and define desiderata that future modeling notations and model-driven engineering research should address in order to address these challenges.

Wed 26 Oct

Displayed time zone: Eastern Time (US & Canada) change

15:30 - 17:00
Foundations IITechnical Track / Tools & Demonstrations / Journal-first at A-4502.1
Chair(s): Bran Selic Malina Software Corporation
Incremental Causal Connection for Self-Adaptive Systems based on Relational Reference Attribute GrammarsFT
Technical Track
René Schöne Technische Universität Dresden, Johannes Mey Technische Universität Dresden, Sebastian Ebert Technische Universität Dresden, Sebastian Götz Technische Universität Dresden, Uwe Aßmann TU Dresden, Germany
File Attached
Addressing the Uncertainty Interaction Problem in Software-intensive Systems: Challenges and DesiderataFT
Technical Track
Javier Camara University of Málaga, Radu Calinescu University of York, UK, Betty H.C. Cheng Michigan State University, David Garlan Carnegie Mellon University, Bradley Schmerl Carnegie Mellon University, USA, Javier Troya Universidad de Málaga, Spain, Antonio Vallecillo University of Málaga, Spain
Modelling in low-code development: a multi-vocal systematic reviewJ1st
Alessio Bucaioni Mälardalen University, Antonio Cicchetti Mälardalen University, Federico Ciccozzi Malardalen University
Link to publication
A Value-Based Goal Model Analysis ToolDemo
Tools & Demonstrations
Carlos Cano Genoves Universitat Politècnica de València, Emilio Insfran Universitat Politècnica de València, Spain, Silvia Abrahão Universitat Politècnica de València