Andrea Stocco
Professor
Researches software engineering for data-intensive systems, including simulation-based testing of deep learning components in autonomous driving.
Andrea Stocco's lab at TUM works on autonomous vehicles & drones, embodied & active vision and physics-based simulation & animation. 36 papers since 2023, 2 at top venues, mostly ICSE. 4 PhD students. 45 alumni.
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 6%
- PhD students
- 4
- MS students
- 0
- alumni listed
- 45
Papers by yearfrom the lab homepage, 2023–2026
- 22 papers2026 · T1 1 · collecting
- 9 papers2025 · T1 1
- 3 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOtherVenues: ICSE
Research focuspaper titles that use each topic's words
- Autonomous vehicles & drones12 papers
- Physics-based simulation & animation7 papers
- Embodied & active vision1 paper
- data-intensive systems0 papers
- researches software0 papers
Paper list
From the lab homepage.
202622 papers
- Proceedings of the IEEE International Conference on Intelligent Transportation SystemsAutomated Evaluation of Multi-Turn Dialogues in In-Car Conversational Assistants
- Journal of Systems and SoftwareBenchmarking Contextual Understanding for In-Car Conversational Systems (opens in a new tab)
- Proceedings of the IEEE/ACM International Conference on Automated Software Engineering - Tools and Datasets TrackCam2Sim: Neural Scenario Reconstruction for Closed-Loop Autonomous Driving Simulation (opens in a new tab)
- Empirical Software EngineeringCodeTransBenchmark: Evaluating LLM-based Code Translation and Repair Across Programming Languages
- Proceedings of the IEEE International Conference on Software Analysis, Evolution and ReengineeringCoverage-Guided Road Selection and Prioritization for Efficient Testing in Autonomous Driving Systems (opens in a new tab)
- Proceedings of the IEEE/ACM International Conference on Automated Software Engineering - Tools and Datasets TrackE-CoDrive: A Co-Simulation Framework for Testing Energy-Critical Driving Scenarios (opens in a new tab)
- Proceedings of the International Symposium on Empirical Software Engineering and MeasurementExplanation-Guided Metamorphic Testing of Specialized Language Models: An Empirical Study
- ACM Transactions on Software Engineering and MethodologyFeature-Aware Test Generation for Deep Learning Models (opens in a new tab)
- IEEE Open Journal of Intelligent Transportation SystemsFoundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis (opens in a new tab)
- Science of Computer ProgrammingGIFTbench: Generative image fuzz testing benchmark (opens in a new tab)
- ICSE WorkshopLarge Language Models for Secure Code Assessment: A Multi-Language Empirical Study (opens in a new tab)
- ICSE WorkshopLatent Regularization in Generative Test Input Generation (opens in a new tab)
20259 papers
- Proceedings of the IEEE/ACM International Conference on Automated Software EngineeringA Multi-Modality Evaluation of the Reality Gap in Autonomous Driving Systems (opens in a new tab)
- Information and Software TechnologyA Multi-Year Grey Literature Review on AI-assisted Test Automation (opens in a new tab)
- Proceedings of the IEEE Intelligent Vehicles SymposiumAutomated Factual Benchmarking for In-Car Conversational Systems using Large Language Models (opens in a new tab)
- Proceedings of the IEEE International Conference on Software Testing, Verification and ValidationBenchmarking Generative AI Models for Deep Learning Test Input Generation (opens in a new tab)
- Proceedings of the IEEE International Conference on Software Testing, Verification and ValidationBenchmarking Image Perturbations for Testing Automated Driving Assistance Systems (opens in a new tab)
- ICSE (T1)Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models (opens in a new tab)
- ICSE WorkshopOpenCat: Improving Interoperability of ADS Testing (opens in a new tab)
- ACM Transactions on Software Engineering and Methodology, JanSystem Safety Monitoring of Learned Components Using Temporal Metric Forecasting (opens in a new tab)
- ACM Transactions on Software Engineering and MethodologyTargeted Deep Learning System Boundary Testing (opens in a new tab)
20243 papers
- Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, JanAssessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing (opens in a new tab)
- Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, JanPredicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification (opens in a new tab)
- Empirical Software Engineering, JanTwo is Better Than One: Digital Siblings to Improve Autonomous Driving Testing (opens in a new tab)
20232 papers
- Proceedings of the International Conference on the Quality of Information and Communications Technology, JanA Retrospective Analysis of Grey Literature for AI-supported Test Automation (opens in a new tab)
- Empirical Software Engineering, JanModel vs System Level Testing of Autonomous Driving Systems: A Replication and Extension Study (opens in a new tab)
Where alumni went45 listed
Apply to TUMRolling
Not announced yet
Computer Science Doctorate (CIT)
- Round
- Rolling (position-based)
- Opens
- —
- GRE
- See program page
- English
- Very good written and spoken English; no minimum test score
- Fee
- See program page
Confirmed on the program page.
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