Naredni sastanak Seminara biće održan u utorak, 18. novembra 2025, u sali 301f Matematičkog instituta SANU sa početkom u 14:15. 

Predavači: Daniel Rodríguez García, Computer Science Department of the University of Alcala, Madrid, Spain

Naslov predavanja: THE INFLUENCE OF DATA COMPLEXITY ON ALGORITHMIC RELIABILITY IN SOFTWARE
DEFECT PREDICTION

Apstrakt: 

We explore the role of data complexity in software defect
prediction, focusing on how structural characteristics of datasets influence both machine learning performance and feature selection reliability. Using a set of complexity metrics and multiple algorithms, the study reveals that certain data traits, such as dimensionality, overlap, and network structure, can significantly affect predictive stability and effectiveness. Knowing the complexity of the data can offer practical insights for selecting appropriate models and feature selection strategies based on dataset properties, contributing to more robust and interpretable defect prediction systems.

Biografija predavača: Daniel Rodriguez is currently an associate professor at the Computer Science Department of the University of Alcala, Madrid, Spain. Previously, he was a lecturer at the University of Reading, UK. Daniel earned his degree in Computer Science at the University of the Basque Country (EHU) and PhD degree at the University of Reading, UK. His research interests include data mining and software engineering in general and the application of data and optimisation techniques to Software Engineering in particular.

Napomena: Predavanja možete pratiti na daljinu. Sve informacije su dostupne na stranici: https://miteam.mi.sanu.ac.rs/asset/qGapAHyEBad2FDwXR