Paolo Tonella

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 113

Top Venues

CoRR

ICST

ACM Trans. Softw. Eng. Methodol.

Empir. Softw. Eng.

Publications

Michael Weiss, Paolo Tonella
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Matteo Biagiola, Paolo Tonella
Testing of Deep Reinforcement Learning Agents with Surrogate Models. ACM Trans. Softw. Eng. Methodol. 33 (3) (2024)
Matteo Biagiola, Paolo Tonella
Boundary State Generation for Testing and Improvement of Autonomous Driving Systems. IEEE Trans. Software Eng. 50 (8) (2024)
Michele Pasqua, Mariano Ceccato, Paolo Tonella
Hypertesting of Programs: Theoretical Foundation and Automated Test Generation. ICSE (2024)
Sajad Khatiri, Sebastiano Panichella, Paolo Tonella
Simulation-based Testing of Unmanned Aerial Vehicles with Aerialist. ICSE Companion (2024)
Ruben Grewal, Paolo Tonella, Andrea Stocco
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification. CoRR (2024)
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
Focused Test Generation for Autonomous Driving Systems. ACM Trans. Softw. Eng. Methodol. 33 (6) (2024)
Luca Giamattei, Matteo Biagiola, Roberto Pietrantuono, Stefano Russo, Paolo Tonella
Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study. CoRR (2024)
Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, Paolo Tonella
Two is better than one: digital siblings to improve autonomous driving testing. Empir. Softw. Eng. 29 (4) (2024)
Michael Weiss, Paolo Tonella
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Jon Ayerdi, Valerio Terragni, Gunel Jahangirova, Aitor Arrieta, Paolo Tonella
GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming. IEEE Trans. Software Eng. 50 (7) (2024)
Andrea Stocco, Brian Pulfer, Paolo Tonella
Model vs system level testing of autonomous driving systems: a replication and extension study. Empir. Softw. Eng. 28 (3) (2023)
Antonia Bertolino, Guglielmo De Angelis, Breno Miranda, Paolo Tonella
In vivo test and rollback of Java applications as they are. Softw. Test. Verification Reliab. 33 (7) (2023)
Michael Weiss, André García Gómez, Paolo Tonella
Generating and detecting true ambiguity: a forgotten danger in DNN supervision testing. Empir. Softw. Eng. 28 (6) (2023)
Sajad Khatiri, Sebastiano Panichella, Paolo Tonella
Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights. ICST (2023)
Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo
Repairing DNN Architecture: Are We There Yet? CoRR (2023)
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours. ESEM (2023)
Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
DeepCrime: from Real Faults to Mutation Testing Tool for Deep Learning. ICSE Companion (2023)
Matteo Biagiola, Paolo Tonella
Boundary State Generation for Testing and Improvement of Autonomous Driving Systems. CoRR (2023)
Michael Weiss, Paolo Tonella
Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines. Softw. Test. Verification Reliab. 33 (6) (2023)
Jon Ayerdi, Valerio Terragni, Gunel Jahangirova, Aitor Arrieta, Paolo Tonella
Automatically Generating Metamorphic Relations via Genetic Programming. CoRR (2023)
Andrea Stocco, Brian Pulfer, Paolo Tonella
Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems. IEEE Trans. Software Eng. 49 (4) (2023)
Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, Paolo Tonella
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing. CoRR (2023)
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
DeepAtash: Focused Test Generation for Deep Learning Systems. ISSTA (2023)
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
Efficient and Effective Feature Space Exploration for Testing Deep Learning Systems. ACM Trans. Softw. Eng. Methodol. 32 (2) (2023)
Andrea Romdhana, Alessio Merlo, Mariano Ceccato, Paolo Tonella
Assessing the security of inter-app communications in android through reinforcement learning. Comput. Secur. 131 (2023)
Michael Weiss, Paolo Tonella
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks. CoRR (2023)
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search. Software Engineering (2023)
Matteo Biagiola, Paolo Tonella
Testing of Deep Reinforcement Learning Agents with Surrogate Models. CoRR (2023)
Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo
Repairing DNN Architecture: Are We There Yet? ICST (2023)
Paolo Tonella
The Road Toward Dependable AI Based Systems. ICSE (2023)
Andrea Stocco, Alexandra Willi, Luigi Libero Lucio Starace, Matteo Biagiola, Paolo Tonella
Neural Embeddings for Web Testing. CoRR (2023)
Vincenzo Riccio, Paolo Tonella
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. ICSE (2023)
Matteo Biagiola, Paolo Tonella
Testing the Plasticity of Reinforcement Learning-based Systems. ACM Trans. Softw. Eng. Methodol. 31 (4) (2022)
Andrea Stocco, Paulo J. Nunes, Marcelo d'Amorim, Paolo Tonella
ThirdEye: Attention Maps for Safe Autonomous Driving Systems. ASE (2022)
Michael Weiss, André García Gómez, Paolo Tonella
A Forgotten Danger in DNN Supervision Testing: Generating and Detecting True Ambiguity. CoRR (2022)
Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, Maite Arratibel
Evolutionary generation of metamorphic relations for cyber-physical systems. GECCO Companion (2022)
Michael Weiss, Paolo Tonella
Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study). ISSTA (2022)
Michael Weiss, Paolo Tonella
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study). CoRR (2022)
Michael Weiss, Paolo Tonella
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines. CoRR (2022)
Andrea Romdhana, Alessio Merlo, Mariano Ceccato, Paolo Tonella
Deep Reinforcement Learning for Black-box Testing of Android Apps. ACM Trans. Softw. Eng. Methodol. 31 (4) (2022)
Andrea Romdhana, Mariano Ceccato, Alessio Merlo, Paolo Tonella
IFRIT: Focused Testing through Deep Reinforcement Learning. ICST (2022)
Vincenzo Riccio, Paolo Tonella
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. CoRR (2022)
Andrea Stocco, Paolo Tonella
Confidence-driven weighted retraining for predicting safety-critical failures in autonomous driving systems. J. Softw. Evol. Process. 34 (10) (2022)
Antonia Bertolino, Pietro Braione, Guglielmo De Angelis, Luca Gazzola, Fitsum Meshesha Kifetew, Leonardo Mariani, Matteo Orrù, Mauro Pezzè, Roberto Pietrantuono, Stefano Russo, Paolo Tonella
A Survey of Field-based Testing Techniques. ACM Comput. Surv. 54 (5) (2021)
Gunel Jahangirova, Andrea Stocco, Paolo Tonella
Quality Metrics and Oracles for Autonomous Vehicles Testing. ICST (2021)
Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella
A Review and Refinement of Surprise Adequacy. DeepTest@ICSE (2021)
Emanuele Viglianisi, Mariano Ceccato, Paolo Tonella
Summary of: A Federated Society of Bots for Smart Contract Testing. ICST (2021)
Andrea Romdhana, Mariano Ceccato, Gabriel Claudiu Georgiu, Alessio Merlo, Paolo Tonella
COSMO: Code Coverage Made Easier for Android. ICST (2021)
Michael Weiss, Paolo Tonella
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification. CoRR (2021)
Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, Maite Arratibel
Generating metamorphic relations for cyber-physical systems with genetic programming: an industrial case study. ESEC/SIGSOFT FSE (2021)
Valerio Terragni, Gunel Jahangirova, Paolo Tonella, Mauro Pezzè
GAssert: A Fully Automated Tool to Improve Assertion Oracles. CoRR (2021)
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search. CoRR (2021)
Valerio Terragni, Gunel Jahangirova, Paolo Tonella, Mauro Pezzè
GAssert: A Fully Automated Tool to Improve Assertion Oracles. ICSE (Companion Volume) (2021)
Andrea Stocco, Brian Pulfer, Paolo Tonella
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems. CoRR (2021)
Valerio Terragni, Gunel Jahangirova, Mauro Pezzè, Paolo Tonella
Improving assertion oracles with evolutionary computation. GECCO Companion (2021)
Michael Weiss, Paolo Tonella
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification. ICST (2021)
Maurizio Leotta, Filippo Ricca, Paolo Tonella
Sidereal: Statistical adaptive generation of robust locators for web testing. Softw. Test. Verification Reliab. 31 (3) (2021)
Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. ASE (2021)
Héctor D. Menéndez, Gunel Jahangirova, Federica Sarro, Paolo Tonella, David Clark
Diversifying Focused Testing for Unit Testing. ACM Trans. Softw. Eng. Methodol. 30 (4) (2021)
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
DeepHyperion: exploring the feature space of deep learning-based systems through illumination search. ISSTA (2021)
Paolo Tonella
Keynote Speaker. AITest (2021)
Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella
An Empirical Validation of Oracle Improvement. IEEE Trans. Software Eng. 47 (8) (2021)
Michael Weiss, Paolo Tonella
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring. CoRR (2021)
Michael Weiss, Paolo Tonella
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring. ICST (2021)
Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. CoRR (2021)
Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella
A Review and Refinement of Surprise Adequacy. CoRR (2021)
Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
DeepCrime: mutation testing of deep learning systems based on real faults. ISSTA (2021)
Dario Olianas, Maurizio Leotta, Filippo Ricca, Matteo Biagiola, Paolo Tonella
STILE: a Tool for Parallel Execution of E2E Web Test Scripts. ICST (2021)
Andrea Romdhana, Alessio Merlo, Mariano Ceccato, Paolo Tonella
Deep Reinforcement Learning for Black-Box Testing of Android Apps. CoRR (2021)
Mariano Ceccato, Davide Corradini, Luca Gazzola, Fitsum Meshesha Kifetew, Leonardo Mariani, Matteo Orrù, Paolo Tonella
A Framework for In-Vivo Testing of Mobile Applications. ICST (2020)
Vincenzo Riccio, Paolo Tonella
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing. CoRR (2020)
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella
Taxonomy of real faults in deep learning systems. ICSE (2020)
Antonia Bertolino, Guglielmo De Angelis, Breno Miranda, Paolo Tonella
Run Java Applications and Test Them In-Vivo Meantime. ICST (2020)
Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella
An Empirical Study on Failed Error Propagation in Java Programs with Real Faults. CoRR (2020)
Andrea Stocco, Paolo Tonella
Towards Anomaly Detectors that Learn Continuously. ISSRE Workshops (2020)
Andrea Stocco, Michael Weiss, Marco Calzana, Paolo Tonella
Misbehaviour prediction for autonomous driving systems. ICSE (2020)
Valerio Terragni, Gunel Jahangirova, Paolo Tonella, Mauro Pezzè
Evolutionary improvement of assertion oracles. ESEC/SIGSOFT FSE (2020)
Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella
Testing machine learning based systems: a systematic mapping. Empir. Softw. Eng. 25 (6) (2020)
Emanuele Viglianisi, Mariano Ceccato, Paolo Tonella
A federated society of bots for smart contract testing. J. Syst. Softw. 168 (2020)
Gunel Jahangirova, Paolo Tonella
An Empirical Evaluation of Mutation Operators for Deep Learning Systems. ICST (2020)
Mariano Ceccato, Davide Corradini, Luca Gazzola, Fitsum Meshesha Kifetew, Leonardo Mariani, Matteo Orrù, Paolo Tonella
A Framework for In-Vivo Testing of Mobile Applications. CoRR (2020)
Vincenzo Riccio, Paolo Tonella
Model-based exploration of the frontier of behaviours for deep learning system testing. ESEC/SIGSOFT FSE (2020)
Matteo Biagiola, Andrea Stocco, Filippo Ricca, Paolo Tonella
Dependency-Aware Web Test Generation. ICST (2020)
Alessio Viticchié, Leonardo Regano, Cataldo Basile, Marco Torchiano, Mariano Ceccato, Paolo Tonella
Empirical assessment of the effort needed to attack programs protected with client/server code splitting. Empir. Softw. Eng. 25 (1) (2020)
Maurizio Leotta, Matteo Biagiola, Filippo Ricca, Mariano Ceccato, Paolo Tonella
A Family of Experiments to Assess the Impact of Page Object Pattern in Web Test Suite Development. ICST (2020)
Mariano Ceccato, Paolo Tonella, Cataldo Basile, Paolo Falcarin, Marco Torchiano, Bart Coppens, Bjorn De Sutter
Understanding the behaviour of hackers while performing attack tasks in a professional setting and in a public challenge. Empir. Softw. Eng. 24 (1) (2019)
Matteo Biagiola, Andrea Stocco, Ali Mesbah, Filippo Ricca, Paolo Tonella
E2E Web Test Dependency Detection using NLP. CoRR (2019)
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella
Taxonomy of Real Faults in Deep Learning Systems. CoRR (2019)
Matteo Biagiola, Andrea Stocco, Ali Mesbah, Filippo Ricca, Paolo Tonella
Web test dependency detection. ESEC/SIGSOFT FSE (2019)
Matteo Biagiola, Andrea Stocco, Filippo Ricca, Paolo Tonella
Diversity-based web test generation. ESEC/SIGSOFT FSE (2019)
Mariano Ceccato, Luca Gazzola, Fitsum Meshesha Kifetew, Leonardo Mariani, Matteo Orrù, Paolo Tonella
Toward In-Vivo Testing of Mobile Applications. ISSRE Workshops (2019)
Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella
OASIs: oracle assessment and improvement tool. ISSTA (2018)
Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella
Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets. IEEE Trans. Software Eng. 44 (2) (2018)
Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella
A large scale empirical comparison of state-of-the-art search-based test case generators. Inf. Softw. Technol. 104 (2018)
Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella
Incremental Control Dependency Frontier Exploration for Many-Criteria Test Case Generation. SSBSE (2018)
Maurizio Leotta, Andrea Stocco, Filippo Ricca, Paolo Tonella
Pesto: Automated migration of DOM-based Web tests towards the visual approach. Softw. Test. Verification Reliab. 28 (4) (2018)
Mariano Ceccato, Paolo Tonella, Cataldo Basile, Bart Coppens, Bjorn De Sutter, Paolo Falcarin, Marco Torchiano
How professional hackers understand protected code while performing attack tasks. ICPC (2017)
Alessio Viticchié, Leonardo Regano, Marco Torchiano, Cataldo Basile, Mariano Ceccato, Paolo Tonella, Roberto Tiella
Assessment of Source Code Obfuscation Techniques. CoRR (2017)
Andrea Stocco, Maurizio Leotta, Filippo Ricca, Paolo Tonella
APOGEN: automatic page object generator for web testing. Softw. Qual. J. 25 (3) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paolo Tonella