October 16, 2020
The paper titled "Experiments with Interactive Fault Localization Using Simulated and Real Users,” authored by Ferenc Horváth, Árpád Beszédes, Béla Vancsics, Gergő Balogh, László Vidács and Tibor Gyimóthy (SZTE Department of Software Engineering) was presented at the 36th IEEE International Conference on Software Maintenance and Evolution (ICSME 2020).
October 15, 2020
A new article, titled “BugsJS: a Benchmark and Taxonomy of JavaScript Bugs.” has been published in the ICST Special issue of the prestigious international journal Software Testing, Verification & Reliability.
October 15, 2020
On October 1st, our team at the Department of Software Engineering has taken part in a program organized by the Institute of Informatics for Girls’ Day: a series of events dedicated to women interested in the fields of science, technology, and engineering.
October 15, 2020
The latest stable version of JerryScript, version 2.3.0 has been released on Github this June.
October 14, 2020
Hamza Baniata, Attila Kertész and Ahmad Anaqreh, (SZTE Department of Software Engineering and Department of Computational Optimization) have published a new paper titled “PF-BTS: A Privacy-Aware Fog-enhanced Blockchain-assisted task scheduling” in the prestigious international journal, Information Processing & Management.
October 14, 2020
This summer, our colleagues from the Research Group on Artificial Intelligence (RGAI) had the opportunity to present their work at the 2020 ICSE (International Conference on Software Engineering), which is the most prominent conference in the field. The conference was held virtually from July 6 to July 11, 2020.
October 14, 2020
Following a kickoff meeting on the 29th of September, the EU COST project titled International Network on Privacy-Aware Video-Based Applications for Active and Assisted Living is now officially underway.
October 12, 2020
The SZTE’s Department of Software Engineering, with the participation of the MTA-SZTE Artificial Intelligence Research Group, won the Marie Curie Innovative Training Network project titled „EMUSE – Cheese microbial Ecosystems MUltiScale ModElling: mechanistic and data driven approaches integration”.
