JAN, S., PANICHELLA, A., ARCURI, A., & BRIAND, L. (December 2019). Search-based Multi-Vulnerability Testing of XML Injections in Web Applications. Empirical Software Engineering, 24 (6), 3696–3729. doi:10.1007/s10664-019-09707-8 Peer Reviewed verified by ORBi |
JAN, S., PANICHELLA, A., ARCURI, A., & BRIAND, L. (April 2019). Automatic Generation of Tests to Exploit XML Injection Vulnerabilities in Web Applications. IEEE Transactions on Software Engineering, 45 (4), 335-362. doi:10.1109/TSE.2017.2778711 Peer reviewed |
APPELT, D., NGUYEN, D. C., PANICHELLA, A., & BRIAND, L. (September 2018). A Machine Learning-Driven Evolutionary Approach for Testing Web Application Firewalls. IEEE Transactions on Reliability, 67 (3), 733-757. doi:10.1109/TR.2018.2805763 Peer Reviewed verified by ORBi |
PANICHELLA, A., Kifetew, F., & Tonella, P. (01 February 2018). Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets. IEEE Transactions on Software Engineering, 44 (2), 122 - 158. doi:10.1109/TSE.2017.2663435 Peer Reviewed verified by ORBi |
Palomba, F., PANICHELLA, A., Zaidman, A., Oliveto, R., & De Lucia, A. (2018). The Scent of a Smell: An Extensive Comparison between Textual and Structural Smells. IEEE Transactions on Software Engineering, 44 (10), 977-1000. doi:10.1109/TSE.2017.2752171 Peer reviewed |
Zhu, PANICHELLA, A., & Zaidman, A. (2018). An Investigation of Compression Techniques to Speed up Mutation Testing. In Proceedings of 11th IEEE Conference on Software Testing, Validation and Verification, 2018. doi:10.1109/ICST.2018.00035 Peer reviewed |
MESSAOUDI, S., PANICHELLA, A., BIANCULLI, D., BRIAND, L., & Sasnauskas, R. (2018). A Search-based Approach for Accurate Identification of Log Message Formats. In Proceedings of the 26th IEEE/ACM International Conference on Program Comprehension (ICPC ’18) (pp. 167-177). ACM. doi:10.1145/3196321.3196340 Peer reviewed |
APPELT, D., PANICHELLA, A., & BRIAND, L. (2017). Automatically Repairing Web Application Firewalls Based on Successful SQL Injection Attacks. In The 28th IEEE International Symposium on Software Reliability Engineering (ISSRE) (pp. 339-350). IEEE. doi:10.1109/ISSRE.2017.28 Peer reviewed |
PANICHELLA, A., Kifetew, F., & Tonella, P. (2017). LIPS vs MOSA: a Replicated Empirical Study on Automated Test Case Generation. In International Symposium on Search Based Software Engineering (SSBSE) 2017. Springer. Peer reviewed |
Di Nucci, D., Palomba, F., Prota, A., PANICHELLA, A., Zaidman, A., & De Lucia, A. (2017). PETrA: a software-based tool for estimating the energy profile of Android applications. In 39th International Conference on Software Engineering (ICSE) 2017 (pp. 3-6). ACM. doi:10.1109/ICSE-C.2017.18 Peer reviewed |
PANICHELLA, A., & Urko, R. (2017). Java Unit Testing Tool Competition — Fifth Round. In 10th International Workshop on Search- Based Software Testing (SBST) 2017. IEEE. doi:10.1109/SBST.2017.7 Peer reviewed |
Soltani, M., PANICHELLA, A., & van Deursen, A. (2017). A Guided Genetic Algorithm for Automated Crash Reproduction. In Proceedings of the 39th International Conference on Software Engineering (ICSE 2017). ACM. doi:10.1109/ICSE.2017.27 Peer reviewed |
Zhu, Q., PANICHELLA, A., & Zaidman, A. (2017). Speeding-Up Mutation Testing via Data Compression and State Infection. In IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) 2017 (pp. 103-109). IEEE. doi:10.1109/ICSTW.2017.25 Peer reviewed |
Palomba, F., Di Nucci, D., PANICHELLA, A., Zaidman, A., & De Lucia, A. (2017). Lightweight Detection of Android-specific Code Smells: the aDoctor Project. In Proceedings of the 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2017). IEEE. Peer reviewed |
Di Nucci, D., Palomba, F., Prota, A., PANICHELLA, A., Zaidman, A., & De Lucia, A. (2017). Software-Based Energy Profiling of Android Apps: Simple, Efficient and Reliable? In Proceedings of the 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2017). IEEE. Peer reviewed |