Publications

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2020
Tóth L, Nagy B, Vidács L, Gyimothy T.  2020.  Mining Hypernyms Semantic Relations from Stack Overflow. Proceedings of the First International Workshop on Knowledge Graph for Software Engineering, KG4SE 2020 - ICSEW. :360-366.
Tóth L, Nagy B, Gyimothy T, Vidács L.  2020.  Why Will My Question Be Closed? NLP-Based Pre-Submission Predictions of Question Closing Reasons on Stack Overflow Proceedings of the 42nd International Conference on Software Engineering, NIER Track (ICSE 2020). :105-108.
2019
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.
Tóth L, Vidács L.  2019.  Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements. Information Technology and Control. 48:1-16.
Szabó Z, Téglás K, Berta Á, Jelasity M, Bilicki V.  2019.  Stunner: A Smart Phone Trace for Developing Decentralized Edge Systems. Lecture Notes in Computer Science. vol 11534(Pereira J., Ricci L. (eds) Distributed Applications and Interoperable Systems. DAIS 2019)
Tóth L, Nagy B, Janthó D, Vidács L, Gyimothy T.  2019.  Towards an Accurate Prediction of the Question Quality at Stack Overflow Using a Deep-Learning-Based NLP Approach. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :631-639.
2018
Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).
Antal G, Hegedűs P, Tóth Z, Ferenc R, Gyimóthy T.  2018.  Static JavaScript Call Graphs: a Comparative Study. Proceedings of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation.
Tóth L, Vidács L.  2018.  Study of Various Classifiers for Identification and Classification of Non-Functional Requirements. Proceedings of the 18th International Conference on Computational Science and Its Applications (ICCSA 2018). 10964:492-503.
2017
Horváth F, Gergely Tamás, Beszédes Á, Tengeri D, Balogh G, Gyimóthy T.  2017.  Code Coverage Differences of Java Bytecode and Source Code Instrumentation Tools. Software Quality Journal.
2016
Vidács L, Horváth F, Tengeri D, Beszédes Á.  2016.  Assessing the Test Suite of a Large System Based on Code Coverage, Efficiency and Uniqueness. Proceedings of the IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering, the First International Workshop on Validating Software Tests (VST'16). :13-16.
Tengeri D, Horváth F, Beszédes Á, Gergely Tamás, Gyimóthy T.  2016.  Negative Effects of Bytecode Instrumentation on Java Source Code Coverage. Proceedings of the IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER'16). :225-235.
Pflanzner T., Tornyai R., Gibizer B., Schmidt A., Kertész Attila.  2016.  Performance analysis of an openstack private cloud. CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science. 2:282-289.
Németh T, Sárkány R, Tornai H, Wiandt Z, Németh-Szabados KViktória, Holló C.  2016.  A programozás oktatásának motivációi a közoktatásban. INFODIDACT 2016 Informatika Szakmódszertani Konferencia elektronikus kiadványa (DVD). :1–7.
Tóth Z, Gyimesi P, Ferenc R.  2016.  A Public Bug Database of GitHub Projects and Its Application in Bug Prediction. Proceedings of the 16th International Conference on Computational Science and Its Applications (ICCSA 2016). :625–638.
Tengeri D, Vidács L, Beszédes Á, Jász Judit, Balogh G, la Vancsics B, Gyimóthy T.  2016.  Relating Code Coverage, Mutation Score and Test Suite Reducibility to Defect Density. Proceedings of the 2016 IEEE International Conference on Software Testing, Verification and Validation Workshops: 11th International Workshop on Mutation Analysis (MUTATION'16). :174-179.
2015
Tengeri D, Beszédes Á, Gergely Tamás, Vidács L, Havas D, Gyimóthy T.  2015.  Beyond Code Coverage - an Approach for Test Suite Assessment and Improvement. Proceedings of the 8th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW'15); 10th Testing: Academic and Industrial Conference - Practice and Research Techniques (TAIC PART'15). :1-7.
Gyimesi P, Gyimesi G, Tóth Z, Ferenc R.  2015.  Characterization of Source Code Defects by Data Mining Conducted on GitHub. Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015). 9159:47–62.
Tóth Z, Vidács L, Ferenc R.  2015.  Comparison of Static Analysis Tools for Quality Measurement of RPG Programs. Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015). 9159:177–192.
Ladányi G, Tóth Z, Ferenc R, Keresztesi T.  2015.  A Software Quality Model for RPG. Proceedings of the 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015). :91–100.
Horváth F, la Vancsics B, Vidács L, Beszédes Á, Tengeri D, Gergely Tamás, Gyimóthy T.  2015.  Test Suite Evaluation using Code Coverage Based Metrics. Proceedings of the 14th Symposium on Programming Languages and Software Tools (SPLST'15). :46-60.
2014
Siket István, Beszédes Á, Taylor J.  2014.  Differences in the Definition and Calculation of the LOC Metric in Free Tools.
Vidács L, Beszédes Á, Tengeri D, Siket István, Gyimóthy T.  2014.  Test Suite Reduction for Fault Detection and Localization: A Combined Approach. Proceedings of the CSMR-WCRE 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE'14). :204-213.
Tengeri D, Beszédes Á, Havas D, Gyimóthy T.  2014.  Toolset and Program Repository for Code Coverage-Based Test Suite Analysis and Manipulation. Proceedings of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM'14). :47-52.
Tornyai R., Kertész Attila.  2014.  Towards autonomous data sharing across personal clouds. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8806:50-61.