Publications

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A
Hamann L, Vidács L, Gogolla M, Kuhlmann M.  2012.  Abstract Runtime Monitoring with USE. Proceedings of the16th European Conference on Software Maintenance and Reengineering (CSMR'12). :549–552.
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.
Ujhelyi Z, Horváth Á, Varró D, Csiszár NIstván, Szőke G, Vidács L, Ferenc R.  2014.  Anti-pattern Detection with Model Queries: A Comparison of Approaches. Proceedings of the 2014 Software Evolution Week (Merger of the 18th IEEE European Conference on Software Maintenance and Reengineering & 21st IEEE Working Conference on Reverse Engineering – CSMR-WCRE 2014). :293–302.
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.
B
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.
Vidács L.  2004.  Building the Instances of Columbus Schema for C/C++ Preprocessing. Volume of Extended Abstracts of 4th Conference of PhD Students in Computer Science (CSCS 2004). :125.
C
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.
Vidács L, Beszédes Á, Ferenc R.  2004.  Columbus Schema for C/C++ Preprocessing. Proceedings of the 8th European Conference on Software Maintenance and Reengineering (CSMR 2004). :75-84.
Vidács L, Beszédes Á, Gyimóthy T.  2009.  Combining preprocessor slicing with C/C++ language slicing. Science of Computer Programming. 74:399-413.
Vidács L, Jász Judit, Beszédes Á, Gyimóthy T.  2008.  Combining Preprocessor Slicing with C/C++ Language Slicing. Proceedings of the 16th IEEE International Conference on Program Comprehension (ICPC'08). :163-171.
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.
Tóth G, Fülöp LJ, Vidács L, Beszédes Á, Demeter H, Farkas L, Gyimóthy T.  2010.  Complex Event Processing Synergies with Predictive Analytics. Proceedings of the 4th ACM International Conference on Distributed Event-Based Systems (DEBS'10), Posters Session. :95-96.
Nagy C, Vidács L, Ferenc R, Gyimóthy T, Kocsis F, Kovács I.  2011.  Complexity Measures in 4GL Environment. Computational Science and Its Applications - ICCSA 2011, Lecture Notes in Computer Science. 6786:293-309.
Beszédes Á, Ferenc R, Gergely Tamás, Gyimóthy T, Lóki G, Vidács L.  2004.  CSiBE Benchmark: One Year Perspective and Plans. Proceedings of the 2004 GCC Developers' Summit. :7-15.
D
Vidács L, Dévai R., Ferenc R, Gyimóthy T.  2012.  Developer Support for Understanding Preprocessor Macro Expansions. Communications in Computer and Information Science. 340:121–130.
E
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, 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).
F
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.
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.
Vidács L, Gogolla M, Ferenc R.  2006.  From C++ Refactorings to Graph Transformations. Electronic Communications of the EASST and Proceedings of the 3rd Workshop on Software Evolution through Transformations (Setra 2006). :127-141.
I
Balogh G, Antal G, Beszédes Á, Vidács L, Gyimóthy T, Végh ZÁdám.  2015.  Identifying Wasted Effort in the Field via Developer Interaction Data. Proceedings of the 31th IEEE International Conference on Software Maintenance and Evolution (ICSME'15), Industry Track. :391-400.
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.
M
Vidács L, Beszédes Á, Ferenc R.  2007.  Macro Impact Analysis Using Macro Slicing. Proceedings of the Second International Conference on Software and Data Technologies (ICSOFT'07). :230-235.
Nagy C, Vidács L, Ferenc R, Gyimóthy T, Kocsis F, Kovács I.  2010.  MAGISTER: Quality assurance of Magic applications for software developers and end users.. ICSM. :1-6.