Szerző: " Bán Dénes"

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)