Paolo Tonella

1. Taxonomy of Real Faults in Deep Learning Systems
   2019/10/24 by Nargiz Humbatova, Humbatova, Nargiz, Gunel Jahangirova +9 · 14 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE) #Software Engineering Research #Software System Performance and Reliability #Software Testing and Debugging Techniques
2. Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets
   2018/02/01 by Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella · 8 citations
3. Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
   2024/04/29 by Ruben Grewal, Paolo Tonella, Grewal, Ruben +3 · 6 citations
   Computer Science · Decision Sciences · Engineering · #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Risk and Safety Analysis #Robotics (cs.RO) #Software Engineering (cs.SE) #Software Reliability and Analysis Research
4. DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search
   2021/07/05 by Tahereh Zohdinasab, Vincenzo Riccio, Zohdinasab, Tahereh +5 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #D.2.5 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE) #Software Reliability and Analysis Research #Software Testing and Debugging Techniques
5. Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
   2024/03/20 by Luca Giamattei, Matteo Biagiola, Giamattei, Luca +7 · 4 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Software Engineering (cs.SE)
6. DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score
   2021/09/15 by Vincenzo Riccio, Riccio, Vincenzo, Nargiz Humbatova +5 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #D.2.5 #FOS: Computer and information sciences #Machine Learning and Data Classification #Software Engineering (cs.SE) #Software Testing and Debugging Techniques
7. Real Faults in Deep Learning Fault Benchmarks: How Real Are They?
   2024/12/20 by Gunel Jahangirova, Jahangirova, Gunel, Nargiz Humbatova +7 · 2 citations
   Engineering · Computer Science · #Fault Detection and Control Systems #Anomaly Detection Techniques and Applications #Software Engineering Research
8. Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models
   2024/09/20 by Luciano Baresi, Davide Yi Xian Hu, Baresi, Luciano +5 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Software Engineering (cs.SE) #Speech Recognition and Synthesis
9. PCLA: A Framework for Testing Autonomous Agents in the CARLA Simulator
   2025/03/12 by Masoud Jamshidiyan Tehrani, Tehrani, Masoud Jamshidiyan, Jin-Han Kim +3 · 1 citation
   Computer Science · Decision Sciences · #Software Testing and Debugging Techniques #Simulation Techniques and Applications #Robotic Path Planning Algorithms
10. MuFF: Stable and Sensitive Post-training Mutation Testing for Deep Learning
    2025/01/16 by Jin-Han Kim, Kim, Jinhan, Nargiz Humbatova +7 · 1 citation
    Computer Science · #Topic Modeling #Machine Learning and Data Classification #Computational Physics and Python Applications
11. Evaluating and Improving the Robustness of Security Attack Detectors Generated by LLMs
    2024/11/27 by Samuele Pasini, Pasini, Samuele, Jin-Han Kim +9 · 1 citation
    Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Software Engineering (cs.SE)
12. When Knowledge Changes: Metamorphic Testing of RAG Systems with Mutations
    2026/07/29 by Jinhan Kim, Samuele Pasini, Paolo Tonella
    Computer Science · #cs.SE
13. Testing Retrieval-Augmented Generation Systems with Chunk Coverage
    2026/07/20 by Jinhan Kim, Samuele Pasini, Paolo Tonella
    #cs.SE