Deep reinforcement learning for black-box testing of android apps A Romdhana, A Merlo, M Ceccato, P Tonella ACM Transactions on Software Engineering and Methodology, 2022, 2022 | 42 | 2022 |
On the (un) reliability of privacy policies in android apps L Verderame, D Caputo, A Romdhana, A Merlo 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 32 | 2020 |
COSMO: code coverage made easier for android A Romdhana, M Ceccato, GC Georgiu, A Merlo, P Tonella 2021 14th IEEE conference on software testing, verification and validation …, 2021 | 13 | 2021 |
IFRIT: Focused Testing through Deep Reinforcement Learning A Romdhana, M Ceccato, A Merlo, P Tonella 2022 IEEE Conference on Software Testing, Verification and Validation (ICST …, 2022 | 4 | 2022 |
Keynote: ARES: a deep reinforcement learning tool for black-box testing of Android apps A Romdhana, A Merlo 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 4 | 2021 |
GenRL at the SBST 2022 tool competition LLL Starace, A Romdhana, S Di Martino Proceedings of the 15th Workshop on Search-Based Software Testing, 49-50, 2022 | 3 | 2022 |
Assessing the security of inter-app communications in android through reinforcement learning A Romdhana, A Merlo, M Ceccato, P Tonella Computers & Security 131, 103311, 2023 | 1 | 2023 |
SEBASTiAn: a Static and Extensible Black-box Application Security Testing tool for iOS and Android applications F Pagano, A Romdhana, D Caputo, L Verderame, A Merlo TechRxiv, 2023 | | 2023 |
APPregator: A Large-Scale Platform for Mobile Security Analysis L Verderame, D Caputo, A Romdhana, A Merlo IFIP International Conference on Testing Software and Systems, 73-88, 2020 | | 2020 |