Publications

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Author Title Type [ Year(Desc)]
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2015
Ujhelyi Z, Szőke G, Horváth Á, Csiszár NIstván, Vidács L, Varró D, Ferenc R.  2015.  Performance Comparison of Query-based Techniques for Anti-pattern Detection. Information and Software Technology. 65:147–165.
Vidács L, Horváth F, Mihalicza J, la Vancsics B, Beszédes Á.  2015.  Supporting Software Product Line Testing by Optimizing Code Configuration Coverage. 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.
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.
2016
Beszédes Á, Vidács L.  2016.  Academic and Industrial Software Testing Conferences: Survey and Synergies. Proceedings of the 2016 IEEE International Conference on Software Testing, Verification and Validation Workshops: 11th Workshop on Testing: Academia-Industry Collaboration, Practice and Research Techniques (TAIC PART'16). :240-249.
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, 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.
2017
Kicsi A, Vidács L, Beszédes Á, Kocsis F, Kovács I.  2017.  Information retrieval based feature analysis for product line adoption in 4GL systems. Proceedings of the 17th International Conference on Computational Science and Its Applications (ICCSA'17). :1-6.
2018
Vidács L, Pinzger M.  2018.  Co-evolution Analysis of Production and Test Code by Learning Association Rules of Changes. 2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2018). :1-7.
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).
Kicsi A, Csuvik V, Vidács L, Beszédes Á, Gyimóthy T.  2018.  Feature Level Complexity and Coupling Analysis in 4GL Systems. The 18th International Conference on Computational Science and Its Applications (ICCSA'18). 10964:438-453.
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.
Kicsi A, Vidács L, Csuvik V, Horváth F, Beszédes Á, Kocsis F.  2018.  Supporting Product Line Adoption by Combining Syntactic and Textual Feature Extraction. International Conference on Software Reuse.
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.
Kicsi A, Rákóczi M, Vidács L.  2019.  Exploration and Mining of Source Code Level Traceability Links on Stack Overflow. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :339-346.
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.
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.
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.
Tóth L, Vidács L.  2019.  Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements. Information Technology and Control. 48:1-16.
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.