Toward Formalizing The Emergent Behavior in Software Engineering. - Mohamed Toufik Ailane; Mohammad Abboush; Christoph Knieke; Abram Lawendy; Andreas Rausch 001 (SESoS/WDES, 2021)

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 001 (Sensors, 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 001 (Sensors, 2022)

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 001 (IEEE Access, 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 001 (Sensors, 2023)

Representative Dataset Generation Framework for AI-based Failure Analysis during real-time Validation of Automotive Software Systems. - Mohammad Abboush; Christoph Knieke; Andreas Rausch 001 (HICSS, 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 001 (Sensors, 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 001 (Sensors, 2024)