Publications

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2017
Kimovski D., Marosi A., Gec S., Saurabh N., Kertész Attila, Kecskemeti G, Stankovski V., Prodan R..  2017.  Distributed environment for efficient virtual machine image management in federated Cloud architectures. Concurrency Computation.
Szőke G, Antal G, Nagy C, Ferenc R, Gyimóthy T.  2017.  Empirical Study on Refactoring Large-scale Industrial Systems and Its Effects on Maintainability. Journal of Systems and Software. 129:107–126.
Szabó Z, Bilicki V, Berta Á, Jánki ZRichárd.  2017.  Smartphone-based Data Collection with Stunner Using Crowdsourcing: Lessons Learnt while Cleaning the Data. IARIA Conference. Best paper award. Twelfth International Multi-Conference on Computing in the Global Information Technology (ICCGI 2017). :28-35.
2018
Szalma J, Bánhalmi A, Bilicki V.  2018.  Detection of Respiratory Effort-Related Arousals Using a Hidden Markov Model and Random Decision Forest. 2018 Computing in Cardiology Conference (CinC).
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.
Szabó Z, Bilicki V, Berta Á, Jánki ZRichárd.  2018.  Smartphone-based data collection with stunner, the reality of peer-to-peer connectivity and web real-time communications using crowdsourcing: lessons learnt while cleaning the data. International Journal On Advances in Software. 11(1-2):120-130.
2019
Gyimesi P, Vancsics B, Stocco A, Mazinanian D, Beszédes Á, Ferenc R, Mesbah A.  2019.  BugsJS: a Benchmark of JavaScript Bugs. 2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST). :90-101.
Bán D, Ferenc R, Siket I, Kiss Á, Gyimóthy T.  2019.  Prediction models for performance, power, and energy efficiency of software executed on heterogeneous hardware. JOURNAL OF SUPERCOMPUTING. 75:4001-4025.
Szabó Z, Téglás K, Berta Á, Jelasity M, Bilicki V.  2019.  Stunner: A Smart Phone Trace for Developing Decentralized Edge Systems. Lecture Notes in Computer Science. vol 11534(Pereira J., Ricci L. (eds) Distributed Applications and Interoperable Systems. DAIS 2019)
2020
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.
Baniata H., Sharieh A., Mahmood S., Kertesz A..  2020.  Graft: A model for evaluating actuator systems in terms of force production. Sensors (Switzerland). 20
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.
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.
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.
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.
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.
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.
Solis WValdez, Parra-Ullauri JMarcelo, Kertész Attila.  2024.  Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review. IEEE Access. vol 12