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@ast-fortiss-tum

Automated Software Testing

This is the GitHub group of the Automated Software Testing group at fortiss/TUM

Welcome to the Automated Software Testing (AST) group at fortiss/TUM! 👋

🧙 The organization contains the GitHub repositories with the research carried out at the Automated Software Testing (AST) Field of Competence at fortiss and the Chair of Software Engineering for Data-intensive Applications of the School of Computation, Information and Technology of the Technical University of Munich (TUM). You will find the algorithms and tools we developed in our research papers.

👩‍💻 Current projects involve test generation, monitoring techniques, automated functional oracles, and domain transferability for deep learning-based systems, with a particular focus on autonomous vehicles, as well as the robustness and maintainability of test suites of modern web applications.

👨‍👨‍👧‍👧 Our research focuses on the interface between software engineering and deep learning with the goal of improving the robustness, reliability, and dependability of data-intensive software systems.

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  1. STELLAR STELLAR Public

    STELLAR: A Search-Based Testing Framework for Large Language Model Applications" (SANER 2026) 🏆

    Python 2 2

  2. ROS-small-scale-vehicle ROS-small-scale-vehicle Public

    Forked from steflamb/ROS-small-scale-vehicle

    Replication package of the paper "A Multi-Modality Evaluation of the Reality Gap in Autonomous Driving Systems" (ASE 2025)

    Python 1

  3. I2I-quality-metrics-study I2I-quality-metrics-study Public

    Replication package of the paper "Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing" (ICST 2024)

    Jupyter Notebook 2

  4. perturbation-drive perturbation-drive Public

    Forked from steflamb/PerturbationDrive

    Replication package of the paper "Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems" (ICST 2025) 🏆

    Jupyter Notebook 3 2

  5. MultiSim MultiSim Public

    Replication Package for the Paper "Simulator Ensembles for Trustworthy Autonomous Driving Systems Testing" (EMSE 2025)

    Python 2

  6. XMutant XMutant Public

    Replication package for the paper "XMutant: XAI-based Fuzzing for Deep Learning Systems" (EMSE 2025)

    Python 1 1

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