Items where Author is "Ferenc, Rudolf"
Group by: Item Type | No Grouping Number of items: 11. ArticleHegedűs, Péter and Ferenc, Rudolf (2022) Static Code Analysis Alarms Filtering Reloaded: A New Real-World Dataset and its ML-Based Utilization. IEEE ACCESS, 10. pp. 55090-55101. ISSN 2169-3536 Antal, Gábor and Tóth, Zoltán and Hegedűs, Péter and Ferenc, Rudolf (2021) Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics. TECHNOLOGIES, 9 (1). pp. 1-19. ISSN 2227-7080 Ferenc, Rudolf and Viszkok, Tamás and Aladics, Tamás and Jász, Judit and Hegedűs, Péter (2020) Deep-water framework: The Swiss army knife of humans working with machine learning models. SoftwareX, 12. p. 100551. ISSN 2352-7110 Vidács, László and Jelasity, Márk and Tóth, László and Hegedűs, Péter and Ferenc, Rudolf (2020) A mesterséges intelligencia néhány biztonsági vetülete. SCIENTIA ET SECURITAS, 1 (1). pp. 29-34. ISSN 2732-2688 (online) Book SectionMosolygó, Balázs and Vándor, Norbert and Hegedűs, Péter and Ferenc, Rudolf (2022) A Line-Level Explainable Vulnerability Detection Approach for Java. In: Computational Science and Its Applications – ICCSA 2022 Workshops : Malaga, Spain, July 4–7, 2022, Proceedings, Part IV. Springer Nature Switzerland AG., Cham, pp. 1-16. (Submitted) Aladics, Tamás and Hegedűs, Péter and Ferenc, Rudolf (2022) A Vulnerability Introducing Commit Dataset for Java: An Improved SZZ Based Approach. In: Proceedings of the 17th International Conference on Software Technologies. Science and Technology Publications, Lda, Setúbal, pp. 68-78. Mosolygó, Balázs and Vándor, Norbert and Antal, Gábor and Hegedűs, Péter and Ferenc, Rudolf (2021) Towards a prototype based explainable javascript vulnerability prediction model. In: 2021 International Conference on Code Quality (ICCQ). IEEE, Piscataway (NJ), pp. 1-11. ISBN 978-1-7281-8476-0 (electronic); 978-1-7281-8477-7 (PoD) MonographGyimóthy, Tibor and Beszédes, Árpád and Ferenc, Rudolf and Gergely, Tamás and Siket, István (2013) Hatékony rendszer-szintű hatásanalízis módszerek és alkalmazásuk a szoftverfejlesztés folyamatában = Efficient whole-system impact analysis methods with applications in software development. Project Report. OTKA. Conference or Workshop ItemViszkok, Tamás and Hegedűs, Péter and Ferenc, Rudolf (2021) Improving Vulnerability Prediction of JavaScript Functions Using Process Metrics. In: ICSOFT 2021 : 16th International Conference on Software Technologies, 2021.07.06. - 2021.07.08., online. Gyimesi, Péter and Vancsics, Béla and Stocco, Andrea and Mazinanian, Davood and Beszédes, Árpád and Ferenc, Rudolf and Mesbah, Ali (2019) BugsJS: a Benchmark of JavaScript Bugs. In: Proceedings of the 12th IEEE Conference on Software Testing, Verification and Validation (ICST'19). Vancsics, Béla and Gyimesi, Péter and Stocco, Andrea and Mazinanian, Davood and Beszédes, Árpád and Ferenc, Rudolf and Mesbah, Ali (2019) Poster: Supporting JavaScript Experimentation with BugsJS. In: Proceedings of the 12th IEEE Conference on Software Testing, Verification and Validation (ICST'19), Posters Track. |