Profil

PANICHELLA Annibale

Main Referenced Co-authors
Zaidman, Andy (6)
BRIAND, Lionel  (5)
Palomba, Fabio (4)
De Lucia, Andrea (3)
Di Nucci, Dario (3)
Main Referenced Keywords
Energy Consumption (2); Estimation (2); Evolutionary Testing (2); Mobile Apps (2); Mutation Testing (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab) (9)
Main Referenced Disciplines
Computer science (15)

Publications (total 15)

The most downloaded
4090 downloads
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 https://hdl.handle.net/10993/35286

The most cited

208 citations (Scopus®)

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 https://hdl.handle.net/10993/30978

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

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

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

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

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

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

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