Hardware-in-the-loop-based real-time fault injection framework for dynamic behavior analysis of automotive software systems

M Abboush, D Bamal, C Knieke, A Rausch - Sensors, 2022 - mdpi.com
A well-known challenge in the development of safety-critical systems in vehicles today is that
reliability and safety assessment should be rigorously addressed and monitored. As a matter …

Exploring fault parameter space using reinforcement learning-based fault injection

M Moradi, BJ Oakes, M Saraoglu… - 2020 50th Annual …, 2020 - ieeexplore.ieee.org
Assessing the safety of complex Cyber-Physical Systems (CPS) is a challenge in any
industry. Fault Injection (FI) is a proven technique for safety analysis and is recommended by …

[PDF][PDF] Model-based fault injection experiments for the safety analysis of exoskeleton system

T Fabarisov, I Mamaev, A Morozov… - arXiv preprint arXiv …, 2021 - academia.edu
Model-based fault injection methods are widely used for the evaluation of fault tolerance in
safety-critical control systems. In this paper, we introduce a new model-based fault injection …

Search-based testing for accurate fault localization in CPS

E Bartocci, L Mariani, D Ničković… - 2022 IEEE 33rd …, 2022 - ieeexplore.ieee.org
Fault localization plays an important role in the design, verification and debugging of cyber-
physical systems (CPS). Finding the exact location of a fault that triggered a failure in a CPS …

FIM: fault injection and mutation for Simulink

E Bartocci, L Mariani, D Ničković, D Yadav - Proceedings of the 30th …, 2022 - dl.acm.org
We introduce FIM, an open-source toolkit for automated fault injection and mutant
generation in Simulink models. FIM allows the injection of faults into specific parts …

Mobatsim: Model-based autonomous traffic simulation framework for fault-error-failure chain analysis

M Saraoglu, A Morozov, K Janschek - IFAC-PapersOnLine, 2019 - Elsevier
Safety analysis is an important topic affecting many different domains in engineering. As one
of the most safety-critical domains, the automotive sector needs tools and techniques to …

Property-based mutation testing

E Bartocci, L Mariani, D Ničković… - 2023 IEEE Conference …, 2023 - ieeexplore.ieee.org
Mutation testing is an established software quality assurance technique for the assessment
of test suites. While it is well-suited to estimate the general fault-revealing capability of a test …

A study of the interplay between safety and security using model-implemented fault injection

B Sangchoolie, P Folkesson… - 2018 14th European …, 2018 - ieeexplore.ieee.org
The combination of high mobility and wireless communication in many safety-critical
systems have increased their exposure to malicious security threats. Consequently, many …

Learning embedding space for clustering from deep representations

P Dahal - 2018 IEEE International Conference on Big Data (Big …, 2018 - ieeexplore.ieee.org
Clustering is one of the most fundamental unsupervised tasks in machine learning and is
elementary in the exploration of high volume data. Recent works propose using deep neural …

DELFASE: A Deep Learning Method for Fault Space Exploration

A Sedaghatbaf, M Moradi… - 2022 18th European …, 2022 - ieeexplore.ieee.org
Cyber-Physical Systems (CPSs) are increasingly used in various safety-critical domains;
assuring the safety of these systems is of paramount importance. Fault Injection is known as …