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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! šŸ‘‹

šŸ§™ 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.

šŸ‘©ā€šŸ’» 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.

šŸ‘Øā€šŸ‘Øā€šŸ‘§ā€šŸ‘§ 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) šŸ†

    Python 4 3

  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 3

  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) šŸ†

    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 2

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