Publications
2024
Martin Tappler and Andrea Pferscher and Bernhard K. Aichernig and Bettina Könighofer. Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data.
In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, ICSE 2024, Lisbon, Portugal, April 14-20, 2024, pages 6:1-6:13, 2024, ACM.
(10.1145/3597503.3623311)
Bernhard K. Aichernig and Sandra König and Cristinel Mateis and Andrea Pferscher and Martin Tappler. Learning Minimal Automata with Recurrent Neural Networks.
Software and Systems Modeling,
2024.
(10.1007/s10270-024-01160-6)
2023
Andrea Pferscher and Bernhard K. Aichernig. Fingerprinting and Analysis of Bluetooth devices with Automata Learning.
Formal Methods in System Design,
1-28,
2023.
(10.1007/s10703-023-00425-y)
Andrea Pferscher, Benjamin Wunderling, Bernhard K. Aichernig, and Edi Muškardin. Mining Digital Twins of a VPN Server.
In Proceedings of the Workshop on Applications of Formal Methods and Digital Twins co-located with 25th International Symposium on Formal Methods (FM 2023), Lübeck, Germany, March 06, 2023, volume 3507 of CEUR Workshop Proceedings, 2023, CEUR-WS.org.
(ceur-ws.org/Vol-3507)
2022
Edi Muškardin, Bernhard K. Aichernig, Ingo Pill, Andrea Pferscher, and Martin Tappler. AALpy: an active automata learning library.
Innov. Syst. Softw. Eng.,
18
(3):
417-426,
2022.
(10.1007/s11334-022-00449-3)
Andrea Pferscher and Bernhard K. Aichernig. Stateful Black-Box Fuzzing of Bluetooth Devices Using Automata Learning.
In NASA Formal Methods - 14th International Symposium, NFM 2022, Pasadena, CA, USA, May 24-27, 2022, Proceedings, volume 13260 of Lecture Notes in Computer Science, pages 373-392, 2022, Springer.
(10.1007/978-3-031-06773-0_20)
Bernhard K. Aichernig, Sandra König, Cristinel Mateis, Andrea Pferscher, Dominik Schmidt, and Martin Tappler. Constrained Training of Recurrent Neural Networks for Automata Learning.
In Software Engineering and Formal Methods - 20th International Conference, SEFM 2022, Berlin, Germany, September 26-30, 2022, Proceedings, volume 13550 of Lecture Notes in Computer Science, pages 155-172, 2022, Springer.
(10.1007/978-3-031-17108-6_10)
Bernhard K. Aichernig, Edi Muškardin, and Andrea Pferscher. Active vs. Passive: A Comparison of Automata Learning Paradigms for Network Protocols.
In Proceedings Fourth International Workshop on Formal Methods for Autonomous Systems (FMAS) and Fourth International Workshop on Automated and verifiable Software sYstem DEvelopment (ASYDE), FMAS/ASYDE@SEFM 2022, and Fourth International Workshop on Automated and verifiable Software sYstem DEvelopment (ASYDE)Berlin, Germany, 26th and 27th of September 2022, volume 371 of EPTCS, pages 1-19, 2022.
(10.4204/EPTCS.371.1)
2021
Edi Muškardin, Bernhard K. Aichernig, Ingo Pill,Andrea Pferscher, and Martin Tappler. AALpy: An Active Automata Learning Library.
In Automated Technology for Verification an Analysis - 19th International Symposium, ATVA 2021, Gold Coast, QLD Australia, October 18-22, 2021, Proceedings, volume 12971 of Lecture Notes in Computer Science, pages 67-73, 2021, Springer.
(10.1007/978-3-030-88885-5_5)
Andrea Pferscher, and Bernhard K. Aichernig. Fingerprinting Bluetooth Low Energy Devices via Active Automata Learning.
In Formal Methods - 24th International Symposium, FM 2021, Virtual Event, November 20-26, 2021, Proceedings, volume 13047 of Lecture Notes in Computer Science, pages 524-542, 2021, Springer.
(10.1007/978-3-030-90870-6_28)
Bernhard K. Aichernig, Edi Muškardin, and Andrea Pferscher. Learning-Based Fuzzing of IoT Message Brokers.
In 14th IEEE Conference on Software Testing Verification and Validation, ICST 2021, Porto de Galinhas, Brazil, April 12-16, 2021, pages 47-58, 2021, IEEE.
(10.1109/ICST49551.2021.00017)
2020
Bernhard K. Aichernig, Andrea Pferscher, and Martin Tappler. From Passive to Active: Learning Timed Automata Efficiently.
In NASA Formal Methods - 12th International Symposium, NFM 2020, Moffett Field, CA, USA, May 11-15, 2020, Proceedings, volume 12229 of Lecture Notes in Computer Science, pages 1-19, 2020, Springer.
(10.1007/978-3-030-55754-6_1)
Andrea Pferscher, and Bernhard K. Aichernig. Learning Abstracted Non-deterministic Finite State Machines.
In Testing Software and Systems - 32nd IFIP WG 6.1 International Conference, ICTSS 2020, Naples, Italy, December 9-11, 2020, Proceedings, volume 12543 of Lecture Notes in Computer Science, pages 52-69, 2020, Springer.
(10.1007/978-3-030-64881-7_4)
Master’s Thesis
Andrea Pferscher. Active Model Learning of Timed Automata via Genetic Programming. Graz University of Technology, 2019. (PDF)
PhD Thesis
Andrea Pferscher. Automata Learning for Security Testing and Analysis in Networked Environments. Graz University of Technology, 2023. (PDF)