most citedAn explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation

3 citations · 3 across the 6 of their papers we have counts for

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cs.SE2026

LLM Ensemble Fault Classification for Automotive HiL Validation

Hamza Ouarrad, Mohammad Abboush, Andreas Rausch

Automotive HiL validation generates large multivariate test recordings whose analysis remains challenging due to manual review effort, rule-based limitations, and the need for expl…

cs.SE2026

Representative Dataset Generation Framework for AI-based Failure Analysis during real-time Validation of Automotive Software Systems

Mohammad Abboush, Christoph Knieke, Andreas Rausch

Recently, thanks to its ability to extract knowledge from historical datasets, the data-driven approach has been widely used in various phases of the system development life cycle.…

cs.SE2026

Sensor-Level Fault Diagnosis for Automotive Software Validation Using Large Language Models

Mohammad Abboush, Hamza Ouarrad, Andreas Rausch

The pre-series validation of automotive software on hardware-in-the-loop (HIL) platforms produces large volumes of multivariate sensor recordings whose assessment against functiona…

cs.SE2026

Fault Detection and Explainable Classification in Automotive HIL Validation via Denoising Autoencoders and In-Context Large Language Models

Mohammad Abboush, Hamza Ouarrad, Andreas Rausch

Validating automotive software systems produces large multivariate test recordings that are still examined through effort-intensive manual review and rule-based evaluation, which d…

cs.SE20263 cited

An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation

Mohammad Abboush, Ehab Ghannoum, Andreas Rausch

Advancements in data-driven machine learning have emerged as a pivotal element in supporting automotive software systems (ASSs) engineering across various levels of the V-developme…

cs.SE2025

LLMs-Powered Real-Time Fault Injection: An Approach Toward Intelligent Fault Test Cases Generation

Mohammad Abboush, Ahmad Hatahet, Andreas Rausch

A well-known testing method for the safety evaluation and real-time validation of automotive software systems (ASSs) is Fault Injection (FI). In accordance with the ISO 26262 stand…