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.
Page last modified: October 22, 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.
Page last modified: October 22, 2020
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”.
Page last modified: October 21, 2020
Horváth F, Gergely Tamás, Beszédes Á, Tengeri D, Balogh G, Gyimothy T.
2019. Code Coverage Differences of Java Bytecode and Source Code. Software Quality Journal. 27(1):79-123.
Page last modified: October 7, 2019
Gergely Tamás, Balogh G, Horváth F, Vancsics B, Beszédes Á, Gyimothy T.
2018. Differences Between a Static and a Dynamic Test-to-Code Traceability Recovery Method. Software Quality Journal. 27(2):797-822.
Page last modified: September 26, 2019
Gyimesi P, Vancsics B, Stocco A, Mazinanian D, Beszédes Á, Ferenc R, Mesbah A.
2019. BugsJS: a Benchmark of JavaScript Bugs. 2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST). :90-101.
Page last modified: September 26, 2019
Csuvik V, Kicsi A, Vidács L.
2019. Source Code Level Word Embeddings in Aiding Semantic Test-to-Code Traceability. Proceedings of the 10th International Workshop on Software and Systems Traceability, (SST 2019 @ ICSE). :29-36.
Page last modified: October 1, 2019
Horváth F, Lacerda VSchnepper, Beszédes Á, Vidács L, Gyimothy T.
2019. A New Interactive Fault Localization Method with Context Aware User Feedback. Proceedings of the First International Workshop on Intelligent Bug Fixing (IBF 2019). :23-28.
Page last modified: September 19, 2019
Csuvik V, Kicsi A, Vidács L.
2019. Evaluation of Textual Similarity Techniques in Code Level Traceability. Proceedings of the 19th International Conference on Computational Science and Its Applications (ICCSA 2019). :529-543.
Page last modified: October 1, 2019
Kicsi A, Csuvik V, Vidács L, Horváth F, Beszédes Á, Gyimothy T, Kocsis F.
2019. Feature Analysis using Information Retrieval, Community Detection and Structural Analysis Methods in Product Line Adoption. Journal of Systems and Software. 155:70-90.
Page last modified: October 1, 2019
