Program

Program at a glance

Session details

Session 1: Safety arguments/cases

SmartGSN : An Online Tool to Semi-automatically Manage Assurance Cases
Authors: Oluwafemi Odu, Daniel Méndez Beltrán, Emiliano Berrones Gutiérrez, Alvine Boaye Belle, Gerhard Yu and Melika Sherafat

Principled safety assurance arguments
Authors: Nicholas Annable, Mark Lawford, Richard Paige and Alan Wassyng

Consensus Building in Level 4 Automated Driving Field Trials through Assurance Cases
Authors: Yutaka Matsuno, Michio Hayashi and Tomoyuki Tsuchiya

Session 2: Data sets and dependability properties

Create and Use a Representative Dataset for Advanced Persistent Threats Detection
Authors: Tommaso Puccetti, Simona De Vivo, Davide Zhang, Pietro Liguori, Roberto Natella and Andrea Ceccarelli

How Post-Completion Error Leads to Software Faults and Vulnerabilities: Industrial Case Studies
Fuqun Huang

Efficient Injury Risk Assessment for Automated Driving Systems Using Subset Simulation
Magnus Gyllenhammar, Daniel Åsljung, Majid Khorsand Vakilzadeh and Gabriel Rodrigues de Campos

Session 3: Position papers

# Authors Title
92 Dag McGeorge and Jon Arne Glomsrud A modular risk concept for complex systems
93 Andreas Hafver, Dag McGeorge, Frank Børre Pedersen and Roger Flage Reconsidering confidence in assurance cases: From quantification to strength-of-knowledge aggregation
94 Emil Lupu and Luca Castiglione Consilience of Safety, Security and Resilience
96 James Inge and Katia Potiron Progress on IEC 63187: System Safety for Complex Systems in Defence Programmes
97 Hans Dermot Doran Partitioning of AI Models for Execution on Mixed Criticality Systems. A Workflow Approach Proposal
98 Carmen Carlan, Daniel Ratiu and Michael Wagner Safety Factories – a Manifesto
99 Anders Cassel, Fredrik Beckman, Martin Lehto, Martin Törngren, Marcus Nolte, Rolf Johansson and Tom Strandberg DevOps Safety – what to bring on the journey?
100 Christophe Bohn, Julien Niol and Emmanuel Arnoux Scenarios applied to system engineering processes for AD/ADAS safety demonstration
101 Simon Diemert, Torin Viger, Jeffrey Joyce and Marsha Chechik One-size-fits-all Evaluation of LLMs for Safety Assurance Considered Harmful
103 Christina Kolb, Megha Quamara and Daniel Braun Rethinking Cyber Safety and Cybersecurity in the Age of AI: A Position Paper
104 Fabian Hüger Can Agentic AI Transform Safety Engineering for the Development of Complex Systems?
105 Will Franks, Liz James and Robert Stroud Using assurance cases to support type approval and regulatory compliance in the automotive sector
106 Håkan Sivencrona, Rolf Johansson, Michał H. Pałka and Markus Dernevik Time for the Automotive Industry to Industrialize Safe CI/CD
107 Sibylle Froeschle Integrating the Technical Level into a Model-Based Safety and Security Analysis: Why it’s Necessary and How it Can be Done
108 Timam Ghosh, Cicek Cavdar and Martin Törngren Semantic Communications – Necessary for Future Safety- and Mission-Critical Connected Systems

Session 4: Testing and complex environments

Alignment of SOTIF and Scenario-based Safety Evaluation Framework
Ikue Warren, Kenji Taguchi, Sou Kitajima, Hiroki Nakamura and Tomoyoshi Murata

Managing Capability in Statistical Software Testing through Generic Test Rigs
Authors: Silke Kuball, Lee Walker and Martin Rendell

Improving Out-of-Distribution Detection via Test-Time Augmentation
Authors: Imanol Allende, Nicholas Mc Guire, Javier Del Campo and Carles Hernandez

Session 5: Methodologies (1) – Safety design and risk assessment

Can C-Based ECC Models Leverage High-Level Synthesis? Evaluating Description Variants for Efficient Circuit Implementations
Authors: Juan Carlos Ruiz Garcia, David De Andrés, Luis-J. Saiz-Adalid and Joaquín Gracia-Morán

Hot PASTA: Improved Pragmatics for System-Theoretic Process Analysis
Authors: Jette Petzold and Reinhard von Hanxleden

ULS: A Unified Likelihood Scale for Cross-Standard Risk Assessment
Authors: Mohamed Abdelsalam, Simon Greiner, Oum-El-Kheir Aktouf and Annabelle Mercier

Session 6: Methodologies (2) – Machine Learning and Large Language Models

Large Language Models in Code Co-generation for Safe Autonomous Vehicles
Authors: Ali Nouri, Beatriz Cabrero-Daniel, Zhennan Fei, Krishna Ronanki, Hakan Sivencrona and Christian Berger

Balancing the Risks and Benefits of using Large Language Models to Support Assurance Case Development
Authors: Simon Diemert, Erin Cyffka, Naweed Anwari, Olivia Foster, Torin Viger, Laure Millet and Jeffrey Joyce

Exploring the Potential of LSTM On Emulating Multiple-bit Fault Injection in SRAM-FPGA
Authors: Trishna Rajkumar and Johnny Öberg

Session 7: Panel debate on Trustworthy AI

AI Under the Law – Building Safe, Trustworthy, and Compliant Systems
Organizers: Hakima Shiralizade and Rafia Inam (Ericsson and KTH)

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