Mohammad Abboush

According to our database, Mohammad Abboush authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

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

Mohammad Abboush, Ehab Ghannoum, Andreas Rausch

Knowl. Based Syst., 2026

SDNLP at AMIYA 2026: Syrian Arabic Dialect Modeling with LoRA.

Hasan Alkhder, Mohammad Abboush

Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects, 2026

2025

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

Mohammad Abboush, Ahmad Hatahet, Andreas Rausch

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Machine Learning-assisted Test Records Analysis during the Real-Time Validation of Automotive Software Systems based on HIL Simulation.

Mohammad Abboush, Christoph Knieke, Andreas Rausch

Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

2024

A Virtual Testing Framework for Real-Time Validation of Automotive Software Systems Based on Hardware in the Loop and Fault Injection.

Mohammad Abboush, Christoph Knieke, Andreas Rausch

Sensors, June, 2024

Automating Fault Test Cases Generation and Execution for Automotive Safety Validation via NLP and HIL Simulation.

Ayman Amyan, Mohammad Abboush, Christoph Knieke, Andreas Rausch

Sensors, May, 2024

Machine learning-based intelligent fault detection and diagnosis for real-time validation process of automotive software systems during the development phase.

Mohammad Abboush

PhD thesis, 2024

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

Mohammad Abboush, Christoph Knieke, Andreas Rausch

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

GRU-Based Denoising Autoencoder for Detection and Clustering of Unknown Single and Concurrent Faults during System Integration Testing of Automotive Software Systems.

Mohammad Abboush, Christoph Knieke, Andreas Rausch

Sensors, July, 2023

Intelligent Identification of Simultaneous Faults of Automotive Software Systems Under Noisy and Imbalanced Data Using Ensemble LSTM and Random Forest.

Mohammad Abboush, Christoph Knieke, Andreas Rausch

IEEE Access, 2023

2022

Intelligent Fault Detection and Classification Based on Hybrid Deep Learning Methods for Hardware-in-the-Loop Test of Automotive Software Systems.

Mohammad Abboush, Daniel Bamal, Christoph Knieke, Andreas Rausch

Sensors, 2022

Hardware-in-the-Loop-Based Real-Time Fault Injection Framework for Dynamic Behavior Analysis of Automotive Software Systems.

Mohammad Abboush, Daniel Bamal, Christoph Knieke, Andreas Rausch

Sensors, 2022

2021

Toward Formalizing The Emergent Behavior in Software Engineering.

Mohamed Toufik Ailane, Mohammad Abboush, Christoph Knieke, Abram Lawendy, Andreas Rausch

Proceedings of the IEEE/ACM Joint 9th International Workshop on Software Engineering for Systems-of-Systems (SESoS) and 15th Workshop on Distributed Software Development, 2021