| How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform D Cotroneo, L De Simone, P Liguori, R Natella, N Bidokhti ESEC/FSE 2019 Proceedings of the 2019 27th ACM Joint Meeting on European …, 2019 | 47 | 2019 |
| Profipy: Programmable software fault injection as-a-service D Cotroneo, L De Simone, P Liguori, R Natella 2020 50th annual IEEE/IFIP international conference on dependable systems …, 2020 | 25 | 2020 |
| Fault injection analytics: A novel approach to discover failure modes in cloud-computing systems D Cotroneo, L De Simone, P Liguori, R Natella IEEE transactions on dependable and secure computing 19 (3), 1476-1491, 2020 | 24 | 2020 |
| Enhancing Failure Propagation Analysis in Cloud Computing Systems D Cotroneo, L De Simone, P Liguori, R Natella, N Bidokhti 2019 IEEE 30th International Symposium on Software Reliability Engineering …, 2019 | 17 | 2019 |
| Shellcode_IA32: A Dataset for Automatic Shellcode Generation P Liguori, E Al-Hossami, D Cotroneo, R Natella, B Cukic, S Shaikh 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021 …, 2021 | 12 | 2021 |
| EVIL: Exploiting Software via Natural Language P Liguori, E Al-Hossami, V Orbinato, R Natella, S Shaikh, D Cotroneo, ... 2021 IEEE 32nd International Symposium on Software Reliability Engineering …, 2021 | 9 | 2021 |
| Can we generate shellcodes via natural language? An empirical study P Liguori, E Al-Hossami, D Cotroneo, R Natella, B Cukic, S Shaikh Automated Software Engineering 29 (1), 30, 2022 | 8 | 2022 |
| Enhancing the analysis of software failures in cloud computing systems with deep learning D Cotroneo, L De Simone, P Liguori, R Natella Journal of Systems and Software 181, 111043, 2021 | 7 | 2021 |
| Failviz: A tool for visualizing fault injection experiments in distributed systems D Cotroneo, L De Simone, P Liguori, R Natella, N Bidokhti 2019 15th European Dependable Computing Conference (EDCC), 145-148, 2019 | 6 | 2019 |
| Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators P Liguori, C Improta, R Natella, B Cukic, D Cotroneo Expert Systems with Applications, 2023 | 5 | 2023 |
| Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation P Liguori, C Improta, S De Vivo, R Natella, B Cukic, D Cotroneo 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software …, 2022 | 3 | 2022 |
| Towards Runtime Verification via Event Stream Processing in Cloud Computing Infrastructures D Cotroneo, L De Simone, P Liguori, R Natella, A Scibelli International Workshop on Artificial Intelligence for IT Operations, 2020 | 2 | 2020 |
| Enhancing the Analysis of Error Propagation and Failure Modes in Cloud Systems D Cotroneo, L De Simone, A Di Martino, P Liguori, R Natella ISSRE Workshops, 140-141, 2018 | 2 | 2018 |
| Automating the Correctness Assessment of AI-generated Code for Security Contexts D Cotroneo, A Foggia, C Improta, P Liguori, R Natella arXiv preprint arXiv:2310.18834, 2023 | | 2023 |
| Simulation Environment for the Evaluation of Lightweight Intrusion Detection Systems S De Vivo, P Liguori 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | | 2023 |
| Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks D Cotroneo, C Improta, P Liguori, R Natella arXiv preprint arXiv:2308.04451, 2023 | | 2023 |
| Enhancing Robustness of AI Offensive Code Generators via Data Augmentation C Improta, P Liguori, R Natella, B Cukic, D Cotroneo arXiv preprint arXiv:2306.05079, 2023 | | 2023 |
| Run-Time Failure Detection Via Non-Intrusive Event Analysis in a Large-Scale Cloud Computing Platform D Cotroneo, L De Simone, P Liguori, R Natella Journal of Systems and Software, 2023 | | 2023 |
| ISSRE 2023 A Baouya, A Aghasharif, A Bombarda, A Guerriero, A Godinot, B Lyons, ... | | |
| Message from the ReSAISE Workshop Chairs P Liguori, E Al-Hossami | | |
Domenico CotroneoProfessor of Computer and System EngineeringEmail confirmado em unina.it
