Oct 4, 2021
Several students at our department have presented their newest articles at the 21st International Conference on Computer Science and Its Applications (ICCSA) conference held in September. Among the authors were Edit Pengő, Péter Gál, Yue Sun, Tamás Aladics, Zsolt János Szamosvölgyi, and Endre Tamás Váradi.
The following papers were presented:
Edit Pengő Examining the Bug Prediction Capabilities of Primitive Obsession Metrics https://doi.org/10.1007/978-3-030-87007-2_14
Péter Gál Bug Prediction Capability of Primitive Enthusiasm Metrics https://doi.org/10.1007/978-3-030-87007-2_18
Péter Gál, Csaba Bátori, and Ákos Kiss Extending A+ with Object-Oriented Elements: A Case Study for A+.NET https://doi.org/10.1007/978-3-030-87013-3_11
Yue Sun, Sandor Brockhauser, and Péter Hegedűs Machine Learning Applied for Spectra Classification https://doi.org/10.1007/978-3-030-87013-3_5
Tamás Aladics, Judit Jász, and Rudolf Ferenc Bug prediction using source code embedding based on doc2vec https://doi.org/10.1007/978-3-030-87007-2_27
Zsolt János Szamosvölgyi, Endre Tamás Váradi, Zoltán Tóth, Judit Jász, and Rudolf Ferenc Assessing Ensemble Learning Techniques in BugPrediction https://doi.org/10.1007/978-3-030-87007-2_26
To learn more about the presented articles and to re-watch some of the sessions, you can visit the conference’s website.