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Ferenc Rudolf; Bán Dénes; Grósz Tamás; Gyimóthy Tibor:
Deep learning in static, metric-based bug prediction.
Array, 6.
Terjedelem: 9 p-Azonosító: 100021.
ISSN 2590-0056
(2020)
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)