200 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. DeepCrime: from Real Faults to Mutation Testing Tool for Deep Learning.
7. When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study.
8. An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours.
9. Repairing DNN Architecture: Are We There Yet?
10. Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights.
11. DeepAtash: Focused Test Generation for Deep Learning Systems.
12. ThirdEye: Attention Maps for Safe Autonomous Driving Systems.
13. IFRIT: Focused Testing through Deep Reinforcement Learning.
14. Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study).
15. DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search.
16. GAssert: A Fully Automated Tool to Improve Assertion Oracles.
17. Generating metamorphic relations for cyber-physical systems with genetic programming: an industrial case study.
18. DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score.
19. Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring.
20. COSMO: Code Coverage Made Easier for Android.
21. Quality Metrics and Oracles for Autonomous Vehicles Testing.
22. Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification.
23. STILE: a Tool for Parallel Execution of E2E Web Test Scripts.
24. DeepCrime: mutation testing of deep learning systems based on real faults.
25. DeepHyperion: exploring the feature space of deep learning-based systems through illumination search.
26. A Review and Refinement of Surprise Adequacy.
27. Misbehaviour prediction for autonomous driving systems.
28. Taxonomy of real faults in deep learning systems.
29. Towards Anomaly Detectors that Learn Continuously.
30. Model-based exploration of the frontier of behaviours for deep learning system testing.
31. Evolutionary improvement of assertion oracles.
32. Run Java Applications and Test Them In-Vivo Meantime.
33. Dependency-Aware Web Test Generation.
34. A Framework for In-Vivo Testing of Mobile Applications.
35. A Family of Experiments to Assess the Impact of Page Object Pattern in Web Test Suite Development.
36. An Empirical Evaluation of Mutation Operators for Deep Learning Systems.
37. The Road Toward Dependable AI Based Systems.
38. Evolutionary generation of metamorphic relations for cyber-physical systems.
39. Toward In-Vivo Testing of Mobile Applications.
40. Web test dependency detection.
41. Diversity-based web test generation.
42. Incremental Control Dependency Frontier Exploration for Many-Criteria Test Case Generation.
43. OASIs: oracle assessment and improvement tool.
44. Summary of: A Federated Society of Bots for Smart Contract Testing.
45. Improving assertion oracles with evolutionary computation.
46. How professional hackers understand protected code while performing attack tasks.
47. LIPS vs MOSA: A Replicated Empirical Study on Automated Test Case Generation.
48. Search Based Path and Input Data Generation for Web Application Testing.
49. Keynote Speaker.
50. Risk-Aware Multi-stakeholder Next Release Planning Using Multi-objective Optimization.
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