Mohammad Abboush

13 papers Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation.
CoRR
Mohammad Abboush, Ehab Ghannoum, Andreas Rausch
2026 J jnl
An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation.
Knowl. Based Syst.
Mohammad Abboush, Ehab Ghannoum, Andreas Rausch
2025 — conf
LLMs-Powered Real-Time Fault Injection: An Approach Toward Intelligent Fault Test Cases Generation.
ITSC
Mohammad Abboush, Ahmad Hatahet, Andreas Rausch
2025 J jnl
LLMs-Powered Real-Time Fault Injection: An Approach Toward Intelligent Fault Test Cases Generation.
CoRR
Mohammad Abboush, Ahmad Hatahet, Andreas Rausch
2025 — conf
Machine Learning-assisted Test Records Analysis during the Real-Time Validation of Automotive Software Systems based on HIL Simulation.
HICSS
Mohammad Abboush, Christoph Knieke, Andreas Rausch
2024 J jnl
A Virtual Testing Framework for Real-Time Validation of Automotive Software Systems Based on Hardware in the Loop and Fault Injection.
Sensors
Mohammad Abboush, Christoph Knieke, Andreas Rausch
2024 J jnl
Automating Fault Test Cases Generation and Execution for Automotive Safety Validation via NLP and HIL Simulation.
Sensors
Ayman Amyan, Mohammad Abboush, Christoph Knieke, Andreas Rausch
2024 — conf
Representative Dataset Generation Framework for AI-based Failure Analysis during real-time Validation of Automotive Software Systems.
HICSS
Mohammad Abboush, Christoph Knieke, Andreas Rausch
2023 J jnl
GRU-Based Denoising Autoencoder for Detection and Clustering of Unknown Single and Concurrent Faults during System Integration Testing of Automotive Software Systems.
Sensors
Mohammad Abboush, Christoph Knieke, Andreas Rausch
2023 J jnl
Intelligent Identification of Simultaneous Faults of Automotive Software Systems Under Noisy and Imbalanced Data Using Ensemble LSTM and Random Forest.
IEEE Access
Mohammad Abboush, Christoph Knieke, Andreas Rausch
2022 J jnl
Hardware-in-the-Loop-Based Real-Time Fault Injection Framework for Dynamic Behavior Analysis of Automotive Software Systems.
Sensors
Mohammad Abboush, Daniel Bamal, Christoph Knieke, Andreas Rausch
2022 J jnl
Intelligent Fault Detection and Classification Based on Hybrid Deep Learning Methods for Hardware-in-the-Loop Test of Automotive Software Systems.
Sensors
Mohammad Abboush, Daniel Bamal, Christoph Knieke, Andreas Rausch
2021 — conf
Toward Formalizing The Emergent Behavior in Software Engineering.
SESoS/WDES
Mohamed Toufik Ailane, Mohammad Abboush, Christoph Knieke, Abram Lawendy, Andreas Rausch