<aside> <img src="https://raw.githubusercontent.com/eirikmadland/notion-icons/master/v5/icon3/mi-menu-lines.svg" alt="https://raw.githubusercontent.com/eirikmadland/notion-icons/master/v5/icon3/mi-menu-lines.svg" width="40px" /> **Home | Career | Publications |** Contact
</aside>
Hint: Click on the little triangle ► to expand the view and display the abstract, bibtex and presentation slides of the individual publications.
#conference
Felix Gemeinhardt, Stefan Klikovits, Manuel Wimmer: Hybrid Multi-Objective Genetic Programming for Parameterized Quantum Operator Discovery, in Genetic and Evolutionary Computation Conference Companion (GECCO ’23 @ Lisbon), Lisbon, Portugal, July 15–19, 2023, hybrid. ACM ISBN 979-8-4007-0120-7/ 23/07.**Preprint PDF | DOI**
#workshop
Matteo Biagiola, Stefan Klikovits, Jarkko Peltomäki and Vincenzo Riccio. SBFT Tool Competition 2023 - Cyber-Physical Systems Track. In: 16th {IEEE/ACM} International Workshop on Search-Based and Fuzz Testing, (SBFT), 2023.#lecture
Stefan Klikovits. Python Frameworks for Algorithms and Data Structures. Guest Lecture at IMC Fachhochschule Krems, Austria, January 2023.#conference
Masaki Waga, Ezequiel Castellano, Sasinee Pruekprasert, Stefan Klikovits, Toru Takisaka and Ichiro Hasuo. Dynamic Shielding for Reinforcement Learning in Black-Box Environments. In: Proc. of 20th International Symposium on Automated Technology for Verification and Analysis (ATVA 2022). Springer, 2022.Publisher | Preprint (extended version)| DOI
#registered-report
Stefan Klikovits, Vincenzo Riccio, Ezequiel Castellano, Ahmet Cetinkaya, Alessio Gambi and Paolo Arcaini. Does Road Diversity Really Matter in Testing Automated Driving Systems?--A Registered Report. Presented at 16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2022). ArXiv, 2022.#journal
Thomas Laurent, Stefan Klikovits, Paolo Arcaini, Fuyuki Ishikawa and Anthony Ventresque. Parameter Coverage for Testing of Autonomous Driving Systems Under Uncertainty. In: ACM Transactions on Software Engineering and Methodology (TOSEM). ACM, 2022.#workshop #competition
Ezequiel Castellano, Stefan Klikovits, Ahmet Cetinkaya and Paolo Arcaini. FreneticV at the SBST 2022 Tool Competition. In: Proc. 2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST). IEEE, 2022.#conference
Stefan Klikovits and Paolo Arcaini. Handling Noise in Search-Based Scenario Generation for Autonomous Driving Systems. In: Proc. 26th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2021). IEEE, 2021.Publisher | DOI | Preprint (arXiv.org)
#presentation
Stefan Klikovits and Didier Buchs. Pragmatic Reuse for DSML Development. At 24th International Conference on Model Driven Engineering Languages and Systems (MODELS). 2021.
(invited Journal First presentation related to the SoSyM Journal Article)Original Journal Article | Slides
#workshop
Stefan Klikovits and Paolo Arcaini. On the Need for Multi-Level ADS Scenarios. In: Proc. of 3rd International Workshop on Multi-Paradigm Modelling for Cyber-Physical Systems (MPM4CPS'21), co-located with MODELS'21. Publisher, 2021.Preprint (arXiv.org) | Slides | DOI
#conference
Stefan Klikovits and Paolo Arcaini. KNN-Averaging for Noisy Multi-objective Optimisation. In: Proc. 14th Intl. Conf. on Quality of Information and Communications Technology. QUATIC 2021. Communications in Computer and Information Science*,* vol. 1439*.* pp. 503-518, Springer, 2021.Publisher | DOI | Github | Slides | Preprint (arXiv.org) | Preprint (Github)
#workshop
C. Eberhart, A. Yamada, Stefan Klikovits, S. Katsumata, T. Kobayashi, I. Hasuo, F. Ishikawa. Architecture-Guided Test Resource Allocation via Logic. In: Tests and Proofs (TAP 2021). Lecture Notes in Computer Science, vol 12740. Springer, 2021.Publisher Version | Preprint | Preprint (arXiv.org)
#workshop #competition
E. Castellano, A. Cetinkaya, C. Ho Thanh, Stefan Klikovits, X. Zhang and P. Arcaini. Frenetic at the SBST 2021 Tool Competition. In: Proc. 2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST). IEEE, 2021.Competition Website | Preprint | Github | Presentation Video
#book-chapter
Stefan Klikovits and Didier Buchs. Chapter 9: CREST – a DSML for hybrid CPS modelling. In: B. Tekinerdogan, D. Blouin, H. Vangheluwe, M. Goulão, P. Carreira, and V. Amaral (eds.) Multi-Paradigm Modelling Approaches for Cyber-Physical Systems. 2021.#book-chapter
H. Giese, D. Blouin, R. Al-Ali, H. Mkaouar, S. Bandyopadhyay, M. Iacono and M. Amrani, Stefan Klikovits, and F. Erata. Chapter 4: An ontology for multi-paradigm modelling. In: B. Tekinerdogan, D. Blouin, H. Vangheluwe, M. Goulão, P. Carreira, and V. Amaral (eds.) Multi-Paradigm Modelling Approaches for Cyber-Physical Systems. 2021.