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2020 – today
- 2024
[c48]Klaudia Szabó Ledenyi, András Kicsi, László Vidács:
A Deep Dive into GPT-4's Data Mining Capabilities for Free-Text Spine Radiology Reports. DATA 2024: 82-92- [c47]Dániel Horváth, László Vidács:
Yet Another Miner Utility Unveiling a Dataset: CodeGrain. DATA 2024: 338-345 - [c46]Márk Lajkó, Viktor Csuvik
, Tibor Gyimóthy, László Vidács:
Automated Program Repair with the GPT Family, Including GPT-2, GPT-3 and CodeX. APR 2024: 34-41 - [c45]Viktor Csuvik, Dániel Horváth, László Vidács:
Feature Extraction, Learning and Selection in Support of Patch Correctness Assessment. ICSOFT 2024: 23-34 - [i2]Mitja Briscik, Gabriele Tazza, Marie-Agnès Dillies, László Vidács, Sébastien Déjean:
Supervised Multiple Kernel Learning approaches for multi-omics data integration. CoRR abs/2403.18355 (2024) - 2023
- [c44]Dániel Horváth, Viktor Csuvik, Tibor Gyimóthy, László Vidács:
An Extensive Study on Model Architecture and Program Representation in the Domain of Learning-based Automated Program Repair. APR@ICSE 2023: 31-38 - [c43]Viktor Csuvik, Tibor Gyimóthy, László Vidács:
Can ChatGPT Fix My Code? ICSOFT 2023: 478-485 - 2022
- [j7]Ferenc Horváth, Árpád Beszédes, Béla Vancsics, Gergö Balogh, László Vidács, Tibor Gyimóthy:
Using contextual knowledge in interactive fault localization. Empir. Softw. Eng. 27(6): 150 (2022) - [c42]Márk Lajkó, Dániel Horváth, Viktor Csuvik, László Vidács:
Fine-Tuning GPT-2 to Patch Programs, Is It Worth It? ICCSA (Workshops 4) 2022: 79-91 - [c41]András Kicsi, Péter Sánta, Dániel Horváth, Norbert Kohegyi, Viktor Szvoreny, Veronika Vincze, Eszter Fozo, László Vidács:
Computer-Aided Forensic Authorship Identification in Criminology. ICCSA (Workshops 5) 2022: 576-592 - [c40]Márk Lajkó, Viktor Csuvik, László Vidács:
Towards JavaScript program repair with Generative Pre-trained Transformer (GPT-2). APR@ICSE 2022: 61-68 - [c39]Viktor Csuvik, László Vidács:
FixJS: A Dataset of Bug-fixing JavaScript Commits. MSR 2022: 712-716 - 2021
- [j6]András Kicsi, Viktor Csuvik, László Vidács:
Large Scale Evaluation of Natural Language Processing Based Test-to-Code Traceability Approaches. IEEE Access 9: 79089-79104 (2021) - [c38]Viktor Csuvik, Dániel Horváth, Márk Lajkó, László Vidács:
Exploring Plausible Patches Using Source Code Embeddings in JavaScript. APR@ICSE 2021: 11-18 - [c37]András Kicsi, Klaudia Szabó Ledenyi, Péter Pusztai, László Vidács:
Automatic Classification and Entity Relation Detection in Hungarian Spinal MRI Reports. SEH@ICSE 2021: 13-19 - [i1]Viktor Csuvik, Dániel Horváth, Márk Lajkó, László Vidács:
Exploring Plausible Patches Using Source Code Embeddings in JavaScript. CoRR abs/2103.16846 (2021) - 2020
- [c36]László Tóth, Balázs Nagy, Tibor Gyimóthy, László Vidács:
Why will my question be closed?: NLP-based pre-submission predictions of question closing reasons on stack overflow. ICSE (NIER) 2020: 45-48 - [c35]László Tóth, Balázs Nagy, Tibor Gyimóthy, László Vidács:
Mining Hypernyms Semantic Relations from Stack Overflow. ICSE (Workshops) 2020: 360-366 - [c34]Ferenc Horváth, Árpád Beszédes, Béla Vancsics, Gergö Balogh, László Vidács, Tibor Gyimóthy:
Experiments with Interactive Fault Localization Using Simulated and Real Users. ICSME 2020: 290-300 - [c33]András Kicsi, László Vidács, Tibor Gyimóthy:
TestRoutes: A Manually Curated Method Level Dataset for Test-to-Code Traceability. MSR 2020: 593-597
2010 – 2019
- 2019
- [j5]László Tóth, László Vidács:
Comparative Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements. Inf. Technol. Control. 48(3): 432-445 (2019) - [j4]András Kicsi, Viktor Csuvik, László Vidács, Ferenc Horváth, Árpád Beszédes, Tibor Gyimóthy, Ferenc Kocsis:
Feature analysis using information retrieval, community detection and structural analysis methods in product line adoption. J. Syst. Softw. 155: 70-90 (2019) - [c32]Viktor Csuvik, András Kicsi, László Vidács:
Evaluation of Textual Similarity Techniques in Code Level Traceability. ICCSA (4) 2019: 529-543 - [c31]Viktor Csuvik, András Kicsi, László Vidács:
Source code level word embeddings in aiding semantic test-to-code traceability. SST@ICSE 2019: 29-36 - [c30]András Kicsi, Márk Rákóczi, László Vidács:
Exploration and Mining of Source Code Level Traceability Links on Stack Overflow. ICSOFT 2019: 339-346 - [c29]László Tóth, Balázs Nagy, Dávid Janthó, László Vidács, Tibor Gyimóthy:
Towards an Accurate Prediction of the Question Quality on Stack Overflow using a Deep-Learning-Based NLP Approach. ICSOFT 2019: 631-639 - 2018
- [c28]András Kicsi, Viktor Csuvik, László Vidács, Árpád Beszédes, Tibor Gyimóthy:
Feature Level Complexity and Coupling Analysis in 4GL Systems. ICCSA (5) 2018: 438-453 - [c27]László Tóth, László Vidács:
Study of Various Classifiers for Identification and Classification of Non-functional Requirements. ICCSA (5) 2018: 492-503 - [c26]András Kicsi, László Tóth, László Vidács:
Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. RAISE@ICSE 2018: 8-14 - [c25]András Kicsi, László Vidács, Viktor Csuvik, Ferenc Horváth, Árpád Beszédes, Ferenc Kocsis:
Supporting Product Line Adoption by Combining Syntactic and Textual Feature Extraction. ICSR 2018: 148-163 - [c24]László Vidács, Martin Pinzger:
Co-evolution analysis of production and test code by learning association rules of changes. MaLTeSQuE 2018: 31-36 - 2017
- [c23]András Kicsi, László Vidács, Árpád Beszédes, Ferenc Kocsis, István Kovács:
Information retrieval based feature analysis for product line adoption in 4GL systems. ICCSA (7) 2017: 1-6 - 2016
- [c22]Dávid Tengeri, László Vidács, Árpád Beszédes, Judit Jász, Gergö Balogh, Béla Vancsics, Tibor Gyimóthy:
Relating Code Coverage, Mutation Score and Test Suite Reducibility to Defect Density. ICST Workshops 2016: 174-179 - [c21]Árpád Beszédes, László Vidács:
Academic and Industrial Software Testing Conferences: Survey and Synergies. ICST Workshops 2016: 240-249 - [c20]László Vidács, Ferenc Horváth, Dávid Tengeri, Árpád Beszédes:
Assessing the Test Suite of a Large System Based on Code Coverage, Efficiency and Uniqueness. VST@SANER 2016: 13-16 - 2015
- [j3]Zoltán Ujhelyi, Gábor Szoke, Ákos Horváth, Norbert Istvan Csiszár, László Vidács, Dániel Varró, Rudolf Ferenc:
Performance comparison of query-based techniques for anti-pattern detection. Inf. Softw. Technol. 65: 147-165 (2015) - [c19]Zoltán Tóth, László Vidács, Rudolf Ferenc:
Comparison of Static Analysis Tools for Quality Measurement of RPG Programs. ICCSA (5) 2015: 177-192 - [c18]Gergö Balogh, Gabor Antal, Árpád Beszédes, László Vidács, Tibor Gyimóthy, Ádám Zoltán Végh:
Identifying wasted effort in the field via developer interaction data. ICSME 2015: 391-400 - [c17]Dávid Tengeri, Árpád Beszédes, Tamás Gergely, László Vidács, David Havas, Tibor Gyimóthy:
Beyond code coverage - An approach for test suite assessment and improvement. ICST Workshops 2015: 1-7 - [c16]László Vidács, Ferenc Horváth, József Mihalicza, Béla Vancsics, Árpád Beszédes:
Supporting software product line testing by optimizing code configuration coverage. ICST Workshops 2015: 1-7 - [c15]Ferenc Horváth, Béla Vancsics, László Vidács, Árpád Beszédes, Dávid Tengeri, Tamás Gergely, Tibor Gyimóthy:
Test suite evaluation using code coverage based metrics. SPLST 2015: 46-60 - 2014
- [c14]László Vidács, Árpád Beszédes, Dávid Tengeri, István Siket, Tibor Gyimóthy:
Test suite reduction for fault detection and localization: A combined approach. CSMR-WCRE 2014: 204-213 - [c13]Zoltán Ujhelyi, Ákos Horváth, Dániel Varró, Norbert Istvan Csiszár, Gábor Szoke, László Vidács, Rudolf Ferenc:
Anti-pattern detection with model queries: A comparison of approaches. CSMR-WCRE 2014: 293-302 - [c12]Richárd Dévai, László Vidács, Rudolf Ferenc, Tibor Gyimóthy:
Service Layer for IDE Integration of C/C++ Preprocessor Related Analysis. ICCSA (5) 2014: 402-417 - 2012
- [c11]Lajos Jeno Fülöp, Árpád Beszédes, Gabriella Tóth, Hunor Demeter, László Vidács, Lóránt Farkas:
Predictive complex event processing: a conceptual framework for combining complex event processing and predictive analytics. BCI 2012: 26-31 - [c10]Lars Hamann, László Vidács, Martin Gogolla, Mirco Kuhlmann:
Abstract Runtime Monitoring with USE. CSMR 2012: 549-552 - 2011
- [c9]Csaba Nagy, László Vidács, Rudolf Ferenc, Tibor Gyimóthy, Ferenc Kocsis, István Kovács:
Solutions for Reverse Engineering 4GL Applications, Recovering the Design of a Logistical Wholesale System. CSMR 2011: 343-346 - [c8]Csaba Nagy, László Vidács, Rudolf Ferenc, Tibor Gyimóthy, Ferenc Kocsis, István Kovács:
Complexity Measures in 4GL Environment. ICCSA (5) 2011: 293-309 - 2010
- [b1]László Vidács:
Software Maintenance Methods for Preprocessed Languages. University of Szeged, Hungary, 2010 - [c7]Gabriella Tóth, Lajos Jeno Fülöp, László Vidács, Árpád Beszédes, Hunor Demeter, Lóránt Farkas:
Complex event processing synergies with predictive analytics. DEBS 2010: 95-96 - [c6]Csaba Nagy, László Vidács, Rudolf Ferenc, Tibor Gyimóthy, Ferenc Kocsis, István Kovács:
MAGISTER: Quality assurance of Magic applications for software developers and end users. ICSM 2010: 1-6
2000 – 2009
- 2009
- [j2]László Vidács, Árpád Beszédes, Tibor Gyimóthy:
Combining preprocessor slicing with C/C++ language slicing. Sci. Comput. Program. 74(7): 399-413 (2009) - [c5]László Vidács:
Refactoring of C/C++ Preprocessor Constructs at the Model Level. ICSOFT (1) 2009: 232-237 - 2008
- [c4]László Vidács, Judit Jász, Árpád Beszédes, Tibor Gyimóthy:
Combining Preprocessor Slicing with C/C++ Language Slicing. ICPC 2008: 163-171 - 2007
- [c3]László Vidács, Árpád Beszédes, Rudolf Ferenc:
Macro Impact Analysis Using Macro Slicing. ICSOFT (SE) 2007: 230-235 - 2006
- [j1]László Vidács, Martin Gogolla, Rudolf Ferenc:
From C++ Refactorings to Graph Transformations. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 3 (2006) - 2004
- [c2]László Vidács, Árpád Beszédes, Rudolf Ferenc:
Columbus Schema for C/C++ Preprocessing. CSMR 2004: 75-84 - 2003
- [c1]László Vidács, Árpád Beszédes:
Opening Up The C/C++ Preprocessor Black Box. SPLST 2003: 45-57
Coauthor Index
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