Publications

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Author Title Type [ Year(Asc)]
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.
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.
2022
Szendi I, Bagi A, Szalóki S, Hallgató E, Domján N, Kanka A, Gál BIldikó, Karcher É, Pásztor H, Jenei T et al..  2022.  Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods. EUROPEAN PSYCHIATRY. 65:S683-S683.
Horváth F, Beszédes Á, la Vancsics B, Balogh G, Vidács L, Gyimóthy T.  2022.  Using contextual knowledge in interactive fault localization. EMPIRICAL SOFTWARE ENGINEERING. 27
2021
Szendi I, Bagi A, Szalóki S, Hallgató E, Domján N, Kanka A, Gál BIldikó, Dujmovics-Karcher É, Pásztor H, Jenei T et al..  2021.  Szkizofrénia és bipoláris affektív zavar kifejlődése iránt alacsony kockázatot mutató egészséges egyetemisták premorbid szűrése neurokognitív és neurofenomenológiai módszerekkel. PSYCHIATRIA HUNGARICA. 36:120-121.
2020
Ferenc R, Gyimesi P, Gyimesi G, Tóth ZGábor, Gyimóthy T.  2020.  An automatically created novel bug dataset and its validation in bug prediction. JOURNAL OF SYSTEMS AND SOFTWARE. 169
Gyimesi P, la Vancsics B, Stocco A, Mazinanian D, Beszédes Á, Ferenc R, Mesbah A.  2020.  BugsJS: a Benchmark and Taxonomy of JavaScript Bugs. Software Testing, Verification and Reliability. n/a:e1751.
Ferenc R, Bán D, Grósz T, Gyimóthy T.  2020.  Deep learning in static, metric-based bug prediction. ARRAY. 6
Pflanzner T., Hovari M., Vass I., Kertesz A..  2020.  Designing an IoT-Cloud Gateway for the Internet of Living Things. Communications in Computer and Information Science. 1218 CCIS:23-41.
Markus. A, Gacsi. P, Kertesz. A.  2020.  Develop or Dissipate Fogs? Evaluating an IoT Application in Fog and Cloud Simulations Proceedings of the 10th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,. :193-203.
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).
Baniata H., Sharieh A., Mahmood S., Kertesz A..  2020.  Graft: A model for evaluating actuator systems in terms of force production. Sensors (Switzerland). 20
Varadi S., G. Varkonyi G, Kertesz A..  2020.  Legal Issues of Social IoT Services: The Effects of Using Clouds, Fogs and AI. Studies in Computational Intelligence. 846:123-138.
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.
Baniata H., Kertesz A..  2020.  PF-BVM: A Privacy-aware fog-enhanced blockchain validation mechanism. CLOSER 2020 - Proceedings of the 10th International Conference on Cloud Computing and Services Science. :430-439.
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, Szatmári A, Beszédes Á.  2020.  Relationship Between the Effectiveness of Spectrum-Based Fault Localization and Bug-fix Types in JavaScript Programs. Proceedings of the 27th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER'20). :308-319.
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.
Markus A., Kertesz A..  2020.  A survey and taxonomy of simulation environments modelling fog computing. Simulation Modelling Practice and Theory. 101
Baniata H., Kertesz A..  2020.  A Survey on Blockchain-Fog Integration Approaches. IEEE Access. 8:102657-102668.
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.
Csuvik V, Horváth D, Horváth F, Vidács L.  2020.  Utilizing Source Code Embeddings to Identify Correct Patches. Proceedings of the Second International Workshop on Intelligent Bug Fixing (IBF 2020). :18-25.