Publications

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Author Title Type [ Year(Asc)]
Filters: Author is Ferenc, Rudolf  [Clear All Filters]
2020
Ferenc R, Gyimesi P, Gyimesi G, Tóth ZGábor, Gyimóthy T.  2020.  An automatically created novel bug dataset and its validation in bug prediction. JOURNAL OF SYSTEMS AND SOFTWARE. 169
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.
Ferenc R, Bán D, Grósz T, Gyimóthy T.  2020.  Deep learning in static, metric-based bug prediction. ARRAY. 6
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.
2019
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.
2018
Antal G, Hegedűs P, Tóth Z, Ferenc R, Gyimóthy T.  2018.  Static JavaScript Call Graphs: a Comparative Study. Proceedings of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation.