Information retrieval based feature analysis for product line adoption in 4GL systems. - András Kicsi; László Vidács; Árpád Beszédes; Ferenc Kocsis; István Kovács (ICCSA (7), 2017)

Feature Level Complexity and Coupling Analysis in 4GL Systems. - András Kicsi; Viktor Csuvik; László Vidács; Árpád Beszédes; Tibor Gyimóthy (ICCSA (5), 2018)

Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. - András Kicsi; László Tóth 002; László Vidács (RAISE@ICSE, 2018)

Supporting Product Line Adoption by Combining Syntactic and Textual Feature Extraction. - András Kicsi; László Vidács; Viktor Csuvik; Ferenc Horváth; Árpád Beszédes; Ferenc Kocsis (ICSR, 2018)

Evaluation of Textual Similarity Techniques in Code Level Traceability. - Viktor Csuvik; András Kicsi; László Vidács (ICCSA (4), 2019)

Source code level word embeddings in aiding semantic test-to-code traceability. - Viktor Csuvik; András Kicsi; László Vidács (SST@ICSE, 2019)

Exploration and Mining of Source Code Level Traceability Links on Stack Overflow. - András Kicsi; Márk Rákóczi; László Vidács (ICSOFT, 2019)

Feature analysis using information retrieval, community detection and structural analysis methods in product line adoption. - András Kicsi; Viktor Csuvik; László Vidács; Ferenc Horváth; Árpád Beszédes; Tibor Gyimóthy; Ferenc Kocsis (J. Syst. Softw., 2019)

TestRoutes: A Manually Curated Method Level Dataset for Test-to-Code Traceability. - András Kicsi; László Vidács; Tibor Gyimóthy (MSR, 2020)

Automatic Classification and Entity Relation Detection in Hungarian Spinal MRI Reports. - András Kicsi; Klaudia Szabó Ledenyi; Péter Pusztai; László Vidács (SEH@ICSE, 2021)

Large Scale Evaluation of Natural Language Processing Based Test-to-Code Traceability Approaches. - András Kicsi; Viktor Csuvik; László Vidács (IEEE Access, 2021)

Computer-Aided Forensic Authorship Identification in Criminology. - András Kicsi; Péter Sánta; Dániel Horváth 001; Norbert Kohegyi; Viktor Szvoreny; Veronika Vincze; Eszter Fozo; László Vidács (ICCSA (Workshops 5), 2022)

A Deep Dive into GPT-4's Data Mining Capabilities for Free-Text Spine Radiology Reports. - Klaudia Szabó Ledenyi; András Kicsi; László Vidács (DATA, 2024)