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MESSAOUDI Salma

Main Referenced Co-authors
BIANCULLI, Domenico  (2)
BRIAND, Lionel  (2)
PANICHELLA, Annibale  (1)
Panichella, Annibale (1)
Sasnauskas, Raimondas (1)
Main Referenced Keywords
log (1); log analysis (1); log message format (1); log parsing (1); Model inference (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab) (3)
Main Referenced Disciplines
Computer science (3)

Publications (total 3)

The most downloaded
4095 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

101 citations (Scopus®)

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

Messaoudi, S., Shin, D., Panichella, A., Bianculli, D., & Briand, L. (2021). Log-based Slicing for System-level Test Cases. In Proceedings of ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 517-528). doi:10.1145/3460319.3464824
Peer reviewed

Messaoudi, S. (2021). Leveraging Execution Logs to Support Model Inference and Software Testing [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/48513

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

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