@article {MTMT:33082972,
	title = {Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods},
	journal = {EUROPEAN PSYCHIATRY},
	volume = {65},
	year = {2022},
	pages = {S683-S683},
	issn = {0924-9338},
	doi = {10.1192/j.eurpsy.2022.1758},
	url = {https://m2.mtmt.hu/api/publication/33082972},
	author = {Szendi, Istv{\'a}n and Bagi, Anita and Szal{\'o}ki, Szilvia and Hallgat{\'o}, Emese and Domj{\'a}n, N{\'o}ra and Kanka, Andor and G{\'a}l, Bernadett Ildik{\'o} and Karcher, {\'E}va and P{\'a}sztor, H and Jenei, T and B{\'o}na, Orsolya and Kov{\'a}cs, Csenge and Pejin, Andrea and Dar{\'o}czy, Judit and Di{\'o}si, {\'A} and Pajkossy, P{\'e}ter and Polner, Bertalan Krist{\'o}f and Demeter, Gyula and Racsm{\'a}ny, Mih{\'a}ly and Baradits, M{\'a}t{\'e} and B{\'u}z{\'a}s, And{\'a}s and D{\'e}r, Andr{\'a}s and Gingl, Zolt{\'a}n and Tibor Gyim{\'o}thy}
}
@article {MTMT:31336850,
	title = {A public unified bug dataset for java and its assessment regarding metrics and bug prediction},
	journal = {SOFTWARE QUALITY JOURNAL},
	volume = {28},
	year = {2020},
	pages = {1447-1506},
	abstract = {Bug datasets have been created and used by many researchers to build and validate novel bug prediction models. In this work, our aim is to collect existing public source code metric-based bug datasets and unify their contents. Furthermore, we wish to assess the plethora of collected metrics and the capabilities of the unified bug dataset in bug prediction. We considered 5 public datasets and we downloaded the corresponding source code for each system in the datasets and performed source code analysis to obtain a common set of source code metrics. This way, we produced a unified bug dataset at class and file level as well. We investigated the diversion of metric definitions and values of the different bug datasets. Finally, we used a decision tree algorithm to show the capabilities of the dataset in bug prediction. We found that there are statistically significant differences in the values of the original and the newly calculated metrics; furthermore, notations and definitions can severely differ. We compared the bug prediction capabilities of the original and the extended metric suites (within-project learning). Afterwards, we merged all classes (and files) into one large dataset which consists of 47,618 elements (43,744 for files) and we evaluated the bug prediction model build on this large dataset as well. Finally, we also investigated cross-project capabilities of the bug prediction models and datasets. We made the unified dataset publicly available for everyone. By using a public unified dataset as an input for different bug prediction related investigations, researchers can make their studies reproducible, thus able to be validated and verified.},
	keywords = {Bug dataset, Bug prediction, Code metrics, Static code analysis},
	issn = {0963-9314},
	doi = {10.1007/s11219-020-09515-0},
	url = {https://m2.mtmt.hu/api/publication/31336850},
	author = {Ferenc, Rudolf and T{\'o}th, Zolt{\'a}n G{\'a}bor and Lad{\'a}nyi, Gergely and Siket, Istv{\'a}n and Tibor Gyim{\'o}thy}
}
@article {MTMT:3328346,
	title = {Prediction models for performance, power, and energy efficiency of software executed on heterogeneous hardware},
	journal = {JOURNAL OF SUPERCOMPUTING},
	volume = {75},
	year = {2019},
	pages = {4001-4025},
	abstract = {Heterogeneous computer environments are becoming commonplace so it is increasingly important to understand how and where we could execute a given algorithm the most efficiently. In this paper we propose a methodology that uses both static source code metrics, and dynamic execution time, power, and energy measurements to build gain ratio prediction models. These models are trained on special benchmarks that have both sequential and parallel implementations and can be executed on various computing elements, e.g., on CPUs, GPUs, or FPGAs. After they are built, however, they can be applied to a new system using only the system{\textquoteright}s static source code metrics which are much more easily computable than any dynamic measurement. We found that while estimating a continuous gain ratio is a much harder problem, we could predict the gain category (e.g., {\textquotedblleft}slight improvement{\textquotedblright} or {\textquotedblleft}large deterioration{\textquotedblright}) of porting to a specific configuration significantly more accurately than a random choice, using static information alone. We also conclude based on our benchmarks that parallelized implementations are less maintainable, thereby supporting the need for automatic transformations.},
	issn = {0920-8542},
	doi = {10.1007/s11227-018-2252-6},
	url = {https://m2.mtmt.hu/api/publication/3328346},
	author = {B{\'a}n, D{\'e}nes and Ferenc, Rudolf and Siket, Istv{\'a}n and Kiss, {\'A}kos and Tibor Gyim{\'o}thy}
}
@article {ban2018prediction,
	title = {Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware},
	journal = {Journal of Supercomputing},
	year = {2018},
	note = {(Accepted for publication.)},
	pages = {25},
	publisher = {springer},
	author = {B{\'a}n, D{\'e}nes and Rudolf Ferenc and Siket, Istv{\'a}n and {\'A}kos Kiss and Tibor Gyim{\'o}thy}
}
@conference {16307,
	title = {Predictive Complex Event Processing},
	booktitle = {Proceedings of the 5th Balkan Conference in Informatics},
	year = {2012},
	pages = {26{\textendash}31},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {New York},
	author = {F{\"u}l{\"o}p, L.J. and T{\'o}th, G. and L{\'a}szl{\'o} Vid{\'a}cs and {\'A}rp{\'a}d Besz{\'e}des and Demeter, H. and Farkas, L. and Tibor Gyim{\'o}thy and Gerg{\H o} Balogh},
	editor = {M. Ivanovic and Z. Budimac}
}
@conference {6080791,
	title = {A probabilistic software quality model},
	booktitle = {Software Maintenance (ICSM), 2011 27th IEEE International Conference on},
	year = {2011},
	month = {sept.},
	pages = {243 -252},
	keywords = {cost estimation, costing, development cost, IEC standards, ISO standards, ISO/IEC 9126 standard, maintainability, probabilistic software quality model, probability, risk estimation, select:quality, software change, software maintenance, software quality, software quality selected},
	issn = {1063-6773},
	doi = {10.1109/ICSM.2011.6080791},
	author = {Tibor Bakota and P Heged{\H u}s and K{\"o}rtv{\'e}lyesi, P and Rudolf Ferenc and Tibor Gyim{\'o}thy}
}
@conference {BFG09,
	title = {Predicting Critical Problems from Execution Logs of a Large-Scale Software System},
	booktitle = {Proceedings of the 11th Symposium on Programming Languages and Software Tools and 7th Nordic Workshop on Model Driven Software Engineering (SPLST{\textquoteright}09)},
	year = {2009},
	month = {aug},
	pages = {19-30},
	author = {{\'A}rp{\'a}d Besz{\'e}des and F{\"u}l{\"o}p, L.J. and Tibor Gyim{\'o}thy}
}
@conference {ACsGy04,
	title = {Programcsomag inform{\'a}ci{\'o}kinyer{\'e}si kutat{\'a}sok t{\'a}mogat{\'a}s{\'a}ra},
	booktitle = {II. Magyar Sz{\'a}m{\'\i}t{\'o}g{\'e}pes Nyelv{\'e}szeti Konferencia},
	year = {2004},
	month = {dec},
	pages = {41-49},
	author = {Z. Alexin and J. Csirik and Tibor Gyim{\'o}thy}
}
@conference {SzGy03,
	title = {Precise static slicing of constraint logic programs},
	booktitle = {Kalm{\'a}r Workshop on Logic and Computer Science},
	year = {2003},
	month = {oct},
	pages = {153-164},
	author = {Gy. Szil{\'a}gyi and Tibor Gyim{\'o}thy}
}
@article {SGyA98,
	title = {Parallel execution of object functional queries},
	journal = {Annales Universitatis Scientiarum Budapestinensis de Rolando Eotvos Nominatae Sectio Computarotica},
	volume = {17},
	year = {1998},
	pages = {339-355},
	author = {Schrettner, L. and Tibor Gyim{\'o}thy and Z. Alexin and J. Tocki}
}
@conference {SGyA95,
	title = {Parallel execution of object functional queries},
	booktitle = {Fourth Symposium on Programming Languages and Software Tools},
	year = {1995},
	month = {jun},
	pages = {447-459},
	author = {Schrettner, L. and Tibor Gyim{\'o}thy and Z. Alexin and J. Toczki}
}
@booklet {TGyH87,
	title = {{PROF-LP user{\textquoteright}s guide}},
	year = {1987},
	author = {J. Toczki and Tibor Gyim{\'o}thy and T. Horv{\'a}th and Kocsis, F.}
}
