587 results on '"Paolo Tonella"'
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2. Adversarial Testing with Reinforcement Learning: A Case Study on Autonomous Driving.
3. Spectral Analysis of the Relation between Deep Learning Faults and Neural Activation Values.
4. Hypertesting of Programs: Theoretical Foundation and Automated Test Generation.
5. Simulation-based Testing of Unmanned Aerial Vehicles with Aerialist.
6. Boundary State Generation for Testing and Improvement of Autonomous Driving Systems.
7. Testing of Deep Reinforcement Learning Agents with Surrogate Models.
8. Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks.
9. GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming.
10. Adaptive Test Generation with Qgrams.
11. muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults.
12. Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models.
13. Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study.
14. DeepCrime: from Real Faults to Mutation Testing Tool for Deep Learning.
15. When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study.
16. An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours.
17. Repairing DNN Architecture: Are We There Yet?
18. Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights.
19. DeepAtash: Focused Test Generation for Deep Learning Systems.
20. Efficient and Effective Feature Space Exploration for Testing Deep Learning Systems.
21. Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems.
22. Two is better than one: digital siblings to improve autonomous driving testing.
23. Focused Test Generation for Autonomous Driving Systems.
24. ThirdEye: Attention Maps for Safe Autonomous Driving Systems.
25. IFRIT: Focused Testing through Deep Reinforcement Learning.
26. Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study).
27. DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search.
28. Testing the Plasticity of Reinforcement Learning-based Systems.
29. Deep Reinforcement Learning for Black-box Testing of Android Apps.
30. A Survey of Field-based Testing Techniques.
31. Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks.
32. Boundary State Generation for Testing and Improvement of Autonomous Driving Systems.
33. Neural Embeddings for Web Testing.
34. Automatically Generating Metamorphic Relations via Genetic Programming.
35. Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing.
36. Testing of Deep Reinforcement Learning Agents with Surrogate Models.
37. In vivo test and rollback of Java applications as they are.
38. Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines.
39. GAssert: A Fully Automated Tool to Improve Assertion Oracles.
40. Generating metamorphic relations for cyber-physical systems with genetic programming: an industrial case study.
41. DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score.
42. Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring.
43. COSMO: Code Coverage Made Easier for Android.
44. Quality Metrics and Oracles for Autonomous Vehicles Testing.
45. Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification.
46. STILE: a Tool for Parallel Execution of E2E Web Test Scripts.
47. DeepCrime: mutation testing of deep learning systems based on real faults.
48. DeepHyperion: exploring the feature space of deep learning-based systems through illumination search.
49. A Review and Refinement of Surprise Adequacy.
50. Misbehaviour prediction for autonomous driving systems.
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