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Ferenc, Rudolf, Hegedűs, Péter, Gyimesi, Péter, Antal, Gábor, Bán, Dénes, Gyimóthy, Tibor:
Challenging machine learning algorithms in predicting vulnerable javascript functions.
In:
7th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2019.
Institute of Electrical and Electronics Engineers Inc., pp. 8-14.
(2019)
ISBN 9781728122724
Bán, Dénes, Ferenc, Rudolf, Siket, István, Kiss, Ákos, Gyimóthy, Tibor:
Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware.
Journal of Supercomputing, 2018.
25 p.-10.1007/s11227-018-2252-6.
(2018)
Bán, Dénes, Ferenc, Rudolf, Siket, István, Kiss, Ákos:
Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware.
In:
13th IEEE International Symposium on Parallel and Distributed Processing with Applications.
IEEE Computer Society Press, pp. 178-183.
(2015)
ISBN 978-1-4673-7951-9
Bán, Dénes, Ferenc, Rudolf:
Recognizing antipatterns and analyzing their effects on software maintainability.
Lecture Notes in Computer Science, 8583 (5).
pp. 337-352.
ISSN 0302-9743
(2014)
Hegedűs, Péter, Bán, Dénes, Ferenc, Rudolf, Gyimóthy, Tibor:
Myth or Reality? Analyzing the Effect of Design Patterns on Software Maintainability.
Communications in Computer and Information Science, 340.
pp. 138-145.
ISSN 1865-0929
(2012)