Publications
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.
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2014. 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.
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2016. 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.
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2015. Evaluating Data Modeling Aspects for Home Telemonitoring. Proceedings of PATTERNS 2011, The Third International Conferences on Pervasive Patterns and Applications. :78-83.
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2011. Semantic Processing of a Hungarian Ethnographic Corpus. Proceedings of the First International AMICUS Workshop on Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts. :112-115.
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2010. FaultBuster: An Automatic Code Smell Refactoring Toolset. Proceedings of the 15th International Working Conference on Source Code Analysis and Manipulation (SCAM 2015). :253–258.
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2015. Bulk Fixing Coding Issues and Its Effects on Software Quality: Is It Worth Refactoring? Proceedings of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2014). :95–104.
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2014. Empirical Study on Refactoring Large-scale Industrial Systems and Its Effects on Maintainability. Journal of Systems and Software. 129:107–126.
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2017. A Case Study of Refactoring Large-Scale Industrial Systems to Efficiently Improve Source Code Quality. Proceedings of the 14th International Conference on Computational Science and Its Applications (ICCSA 2014). 8583:524–540.
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2014. Designing and Developing Automated Refactoring Transformations: An Experience Report. Proceedings of the 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016). :693–697.
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2016. Do Automatic Refactorings Improve Maintainability? An Industrial Case Study Proceedings of the 31st International Conference on Software Maintenance and Evolution (ICSME 2015). :429–438.
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2015. Static and Dynamic Slicing of Constraint Logic Programs. Automated Software Engg.. 9:41–65.
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2002. Slicing of Constraint Logic Programs. Linköping Electronic Articles in Computer and Information Science. 3:1-27.
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1998. Precise static slicing of constraint logic programs. Kalmár Workshop on Logic and Computer Science. :153-164.
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2003. The debug slicing of logic programs. Acta Cybernetica. 15:257–278.
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2001. Slicing of Constraint Logic Programs. AADEBUG.
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2000. Debug Slicing of Logic Programs. Conference of PhD Students on Computer Sciences. :43-44.
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2000. Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods. EUROPEAN PSYCHIATRY. 65:S683-S683.
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2022. Szkizofrénia és bipoláris affektív zavar kifejlődése iránt alacsony kockázatot mutató egészséges egyetemisták premorbid szűrése neurokognitív és neurofenomenológiai módszerekkel. PSYCHIATRIA HUNGARICA. 36:120-121.
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2021. Dynamic Slicing of Java Bytecode Programs. Proceedings of the Fifth IEEE International Workshop on Source Code Analysis and Manipulation. :35–44.
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2005. Verifying the Concept of Union Slices on Java Programs. Proceedings of the 11th European Conference on Software Maintenance and Reengineering (CSMR'07). :233-242.
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2007. Dynamic Slicing of Programs Compiled for the Java VirtualMachine. Volume of Extended Abstracts of the 4th Conference of PhD Students in Computer Science. :115.
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2004. Morfoszintaktikailag annotált néprajzi korpusz. VI. Magyar Számítógépes Nyelvészeti Konferencia: MSZNY 2009. :386-389.
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2009. Detection of Respiratory Effort-Related Arousals Using a Hidden Markov Model and Random Decision Forest. 2018 Computing in Cardiology Conference (CinC).
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2018. Smartphone-based Data Collection with Stunner Using Crowdsourcing: Lessons Learnt while Cleaning the Data. IARIA Conference. Best paper award. Twelfth International Multi-Conference on Computing in the Global Information Technology (ICCGI 2017). :28-35.
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2017.