Publications

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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
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. Proceedings of the 27th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER'20). :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.
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.
2019
Ferenc R, Hegedűs P, Gyimesi P, Antal G, Bán D, Gyimothy T.  2019.  Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. :8-14.
Horváth F, Gergely Tamás, Beszédes Á, Tengeri D, Balogh G, Gyimothy T.  2019.  Code Coverage Differences of Java Bytecode and Source Code. Software Quality Journal. 27(1):79-123.
Kicsi A, Csuvik V, Vidács L, Horváth F, Beszédes Á, Gyimothy T, Kocsis F.  2019.  Feature Analysis using Information Retrieval, Community Detection and Structural Analysis Methods in Product Line Adoption. Journal of Systems and Software. 155:70-90.
Horváth F, Lacerda VSchnepper, Beszédes Á, Vidács L, Gyimothy T.  2019.  A New Interactive Fault Localization Method with Context Aware User Feedback. Proceedings of the First International Workshop on Intelligent Bug Fixing (IBF 2019). :23-28.
Tóth L, Nagy B, Janthó D, Vidács L, Gyimothy T.  2019.  Towards an Accurate Prediction of the Question Quality at Stack Overflow Using a Deep-Learning-Based NLP Approach. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :631-639.
2018
Gergely T, Balogh G, Horváth F, la Vancsics B, Beszédes Á, Gyimóthy T.  2018.  Analysis of Static and Dynamic Test-to-code Traceability Information. Acta Cybernetica. 23:903-919.
Gergely Tamás, Balogh G, Horváth F, Vancsics B, Beszédes Á, Gyimothy T.  2018.  Differences Between a Static and a Dynamic Test-to-Code Traceability Recovery Method. Software Quality Journal. 27(2):797-822.
Hegedűs P, Kádár I, Ferenc R, Gyimóthy T.  2018.  Empirical Evaluation of Software Maintainability Based on a Manually Validated Refactoring Dataset. Information and Software Technology. 95
Kicsi A, Csuvik V, Vidács L, Beszédes Á, Gyimóthy T.  2018.  Feature Level Complexity and Coupling Analysis in 4GL Systems. The 18th International Conference on Computational Science and Its Applications (ICCSA'18). 10964:438-453.
Hodován R, Kiss Á, Gyimóthy T.  2018.  Grammarinator: A Grammar-based Open Source Fuzzer. Proceedings of the 9th Workshop on Automating Test Case Design, Selection and Evaluation (A-TEST 2018).
Kiss Á, Hodován R, Gyimóthy T.  2018.  HDDr: A Recursive Variant of the Hierarchical Delta Debugging Algorithm. Proceedings of the 9th Workshop on Automating Test Case Design, Selection and Evaluation (A-TEST 2018). :16-22.
Kertész Attila, Pflanzner T, Gyimothy T.  2018.  A Mobile IoT Device Simulator for IoT-Fog-Cloud Systems. Journal of Grid Computing. (2018):1-23.
Bán D, Ferenc R, Siket I, Kiss Á, Gyimóthy T.  2018.  Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware. Journal of Supercomputing. :25.
Antal G, Hegedűs P, Tóth Z, Ferenc R, Gyimóthy T.  2018.  Static JavaScript Call Graphs: a Comparative Study. Proceedings of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation.
2017
Hodován R, Kiss Á, Gyimóthy T.  2017.  Coarse Hierarchical Delta Debugging. Proceedings of the 33rd IEEE International Conference on Software Maintenance and Evolution (ICSME 2017). :194–203.