Publications

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2020
Kicsi A, Ledenyi KSzabó, Németh P, Pusztai P, Vidács L, Gyimóthy T.  2020.  Elírások automatikus detektálása és javítása radiológiai leletek szövegében. XVI. Magyar Számítógépes Nyelvészeti Konferencia : MSZNY 2020. :191-204.
Horváth F, Beszédes Á, la Vancsics B, Balogh G, Vidács L, Gyimóthy T.  2020.  Experiments with Interactive Fault Localization Using Simulated and Real Users. Proceedings of the 36th IEEE International Conference on Software Maintenance and Evolution (ICSME'20).
Beszédes Á, Horváth F, Di Penta M, Gyimóthy T.  2020.  Leveraging Contextual Information from Function Call Chains to Improve Fault Localization. 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER). :468-479.
Tóth L, Nagy B, Vidács L, Gyimothy T.  2020.  Mining Hypernyms Semantic Relations from Stack Overflow. Proceedings of the First International Workshop on Knowledge Graph for Software Engineering, KG4SE 2020 - ICSEW. :360-366.
Ferenc R, Tóth ZGábor, Ladányi G, Siket I, Gyimóthy T.  2020.  A public unified bug dataset for java and its assessment regarding metrics and bug prediction. SOFTWARE QUALITY JOURNAL. 28:1447-1506.
la Vancsics B, Gergely T, Beszédes Á.  2020.  Simulating the Effect of Test Flakiness on Fault Localization Effectiveness. Proceedings of the 3rd International Workshop on Validation, Analysis and Evolution of Software Tests (VST'20). :28-35.
Kicsi A, Vidács L, Gyimothy T.  2020.  TestRoutes: A Manually Curated Method Level Dataset for Test-to-Code Traceability. Proceedings of the 17th International Conference on Mining Software Repositories, MSR 2020. :593-597.
Tóth L, Nagy B, Gyimothy T, Vidács L.  2020.  Why Will My Question Be Closed? NLP-Based Pre-Submission Predictions of Question Closing Reasons on Stack Overflow Proceedings of the 42nd International Conference on Software Engineering, NIER Track (ICSE 2020). :105-108.
2023
Csuvik V, Gyimóthy T, Vidács L.  2023.  Can ChatGPT Fix My Code? Proceedings of the 18th International Conference on Software Technologies. :478-485.
Horváth D, Csuvik V, Gyimóthy T, Vidács L.  2023.  An Extensive Study on Model Architecture and Program Representation in the Domain of Learning-based Automated Program Repair. 2023 IEEE/ACM International Workshop on Automated Program Repair (APR). :31-38.
2024
Horváth F, Aszmann R, Soha PAttila, Beszédes Á, Gyimóthy T.  2024.  Context Switch Sensitive Fault Localization. Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering. :110-119.