Articles presented at ICCSA

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

Péter Gál Bug Prediction Capability of Primitive Enthusiasm Metrics

Péter Gál, Csaba Bátori, and Ákos Kiss Extending A+ with Object-Oriented Elements: A Case Study for A+.NET

Yue Sun, Sandor Brockhauser, and Péter Hegedűs Machine Learning Applied for Spectra Classification

Tamás Aladics, Judit Jász, and Rudolf Ferenc Bug prediction using source code embedding based on doc2vec

Zsolt János Szamosvölgyi, Endre Tamás Váradi, Zoltán Tóth, Judit Jász, and Rudolf Ferenc Assessing Ensemble Learning Techniques in BugPrediction

To learn more about the presented articles and to re-watch some of the sessions, you can visit the conference’s website.

Page last modified: October 4, 2021