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Presence monitoring or intrusion detection in a location/are are examples of \textit{decision-support applications}, i.e., applications where monitoring is used to collect (heterogeneous) data and create situational awareness, which furthers require decisions and/or actions.

As such, \textit{decision-support software} consists of different interconnected components with very diverse roles, whose communication and synchronization are essential for the application functionality and performance. Despite this complexity, software design for decision-support is often driven by short-term functional requirements and only supported by designers’ previous experience. In the current non-systematic approach, mistakes can be easily made, and can be very difficult to repair.

In this work, we describe our \textit{systematic method for efficient and effective decision-support software design}, based on application design-space exploration (DSE). To this end, we describe how to build a design space and present structured methods to traverse the design space towards software solutions that meet user requirements for \textit{both} functionality and performance.

Thu 13 Oct

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13:30 - 15:30
Technical Session 28 - Safety-Critical and Self-Adaptive SystemsIndustry Showcase / Tool Demonstrations / Research Papers / Late Breaking Results / NIER Track at Room 128
Chair(s): Eunsuk Kang Carnegie Mellon University
13:30
10m
Demonstration
SAFA: A Tool for Supporting Safety Analysis in Evolving Software Systems
Tool Demonstrations
Alberto D. Rodriguez University of Notre Dame, Timothy Newman University of Notre Dame, Katherine R. Dearstyne University of Notre Dame, Jane Cleland-Huang University of Notre Dame
13:40
20m
Research paper
Generating Critical Test Scenarios for Autonomous Driving Systems via Influential Behavior PatternsVirtual
Research Papers
Haoxiang Tian Institute of Software, Chinese Academy of Sciences, Guoquan Wu Institute of Software at Chinese Academy of Sciences, China, Jiren Yan Institute of Software, Chinese Academy of Sciences, Yan Jiang Institute of Software, Chinese Academy of Sciences, Jun Wei Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Wei Chen Institute of Software at Chinese Academy of Sciences, China, Shuo Li Institute of Software, Chinese Academy of Sciences, Dan Ye Institute of Software, Chinese Academy of Sciences
14:00
20m
Research paper
Consistent Scene Graph Generation by Constraint OptimizationVirtual
Research Papers
Boqi Chen McGill University, Kristóf Marussy Budapest University of Technology and Economics, Sebastian Pilarski McGill University, Oszkár Semeráth Budapest University of Technology and Economics, Daniel Varro McGill University / Budapest University of Technology and Economics
14:20
20m
Industry talk
A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial ProcessesVirtual
Industry Showcase
Firas Bayram Department of Mathematics and Computer Science, Karlstad University, Sweden, Bestoun S. Ahmed Karlstad University Sweden, Erik Hallin Uddeholms AB, Sweden, Anton Engman Uddeholms AB, Sweden
Pre-print
14:40
10m
Paper
SML4ADS: An Open DSML for Autonomous Driving Scenario Representation and GenerationVirtual
Late Breaking Results
Bo Li East China Normal University, Dehui Du East China Normal University, Sicong Chen East China Normal University, Minjun Wei East China Normal University, Chenghang Zheng East China Normal University, Xinyuan Zhang East China Normal University
14:50
10m
Vision and Emerging Results
XSA: eXplainable Self-AdaptationVirtual
NIER Track
Matteo Camilli Free University of Bozen-Bolzano, Raffaela Mirandola Politecnico di Milano, Patrizia Scandurra University of Bergamo, Italy
File Attached
15:00
20m
Industry talk
Design-Space Exploration for Decision-Support Software
Industry Showcase
Ate Penders Thales Research & Technology, Ana Lucia Varbanescu University of Twente, Gregor Pavlin Thales Research & Technology, Henk Sips Delft University of Technology