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Tonella, Paolo

  1. Taxonomy of Real Faults in Deep Learning Systems
    2019/10/24 by Nargiz Humbatova, Humbatova, Nargiz, Gunel Jahangirova +9 · 17 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. Misbehaviour Prediction for Autonomous Driving Systems
    2019/10/10 by Stocco, Andrea, Weiss, Michael, Calzana, Marco +1 · 12 citations
    #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
  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, Giamattei, Luca, Matteo Biagiola +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. Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing
    2020/07/06 by Riccio, Vincenzo, Tonella, Paolo · 2 citations
    #Artificial Intelligence (cs.AI) #D.2.5 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
  7. 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
  8. When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study
    2022/12/21 by Riccio, Vincenzo, Tonella, Paolo · 2 citations
    #D.2.5 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
  9. Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models
    2024/09/20 by Luciano Baresi, Baresi, Luciano, Davide Yi Xian Hu +5 · 4 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
  10. A Framework for In-Vivo Testing of Mobile Applications
    2020/02/05 by Ceccato, Mariano, Corradini, Davide, Gazzola, Luca +4 · 1 citation
    #FOS: Computer and information sciences #Software Engineering (cs.SE)
  11. Improving the Readability of Automatically Generated Tests using Large Language Models
    2024/12/25 by Matteo Biagiola, Gianluca Ghislotti, Biagiola, Matteo +3 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Natural Language Processing Techniques #Software Engineering (cs.SE) #Text Readability and Simplification
  12. Real Faults in Deep Learning Fault Benchmarks: How Real Are They?
    2024/12/20 by Gunel Jahangirova, Nargiz Humbatova, Jahangirova, Gunel +7 · 2 citations
    Engineering · Computer Science · #Fault Detection and Control Systems #Anomaly Detection Techniques and Applications #Software Engineering Research
  13. Neural Embeddings for Web Testing
    2023/06/12 by Stocco, Andrea, Willi, Alexandra, Starace, Luigi Libero Lucio +2 · 1 citation
    #FOS: Computer and information sciences #Software Engineering (cs.SE)
  14. 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
  15. When Uncertainty Leads to Unsafety: Empirical Insights into the Role of Uncertainty in Unmanned Aerial Vehicle Safety
    2025/01/15 by Sajad Khatiri, Fatemeh Mohammadi Amin, Khatiri, Sajad +5 · 3 citations
    Decision Sciences · #FOS: Computer and information sciences #Probabilistic and Robust Engineering Design #Robotics (cs.RO) #Software Engineering (cs.SE)
  16. MuFF: Stable and Sensitive Post-training Mutation Testing for Deep Learning
    2025/01/16 by Jin-Han Kim, Nargiz Humbatova, Kim, Jinhan +7 · 1 citation
    Computer Science · #Topic Modeling #Machine Learning and Data Classification #Computational Physics and Python Applications
  17. 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)