Publications
Adding Constraint Building Mechanisms to a Symbolic Execution Engine Developed for Detecting Runtime Errors. Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015). 9159:20–35.
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2015. .
2015. Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. Proceedings of the 16th International Conference on Computational Science and Its Applications (ICCSA 2016). :610–624.
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2016. Befriend - a Benchmark for Evaluating Reverse Engineering Tools. Periodica Polytechnica - Electrical Engineering. 52:153-162.
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2008. Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. :8-14.
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2019. Code Ownership: Impact on Maintainability. Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015). 9159:3–19.
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2015. A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. Proceedings of the 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016). :599–603.
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2016. .
2009. Comparing and Evaluating Design Pattern Miner Tools. Annales Universitatis Scientiarum Budapestinensis de Rolando Eotvos Nominatae Sectio Computarotica. 31:167-184.
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2009. Comparison of Different Impact Analysis Methods and Programmer's Opinion – an Empirical Study. Proceedings of the 8th International Conference on the Principles and Practice of Programming in Java (PPPJ'10). :109-118.
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2010. Connection Between Version Control Operations and Quality Change of the Source Code. Acta Cybernetica. 21:585–607.
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2014. The Connection of the Bug Density and Maintainability of Classes. 8th International Workshop on Software Quality and Maintainability.
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2014. A Cost Model Based on Software Maintainability. Proceedings of the 28th IEEE International Conference on Software Maintenance (ICSM). :316–325.
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2012. Cumulative Code Churn: Impact on Maintainability. Proceedings of the 15th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2015). :141–150.
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2015. Development of a Methodology, Software – Suite and Service for Supporting Software Architecture Reconstruction. Proceedings of the 2010 14th European Conference on Software Maintenance and Reengineering. :190–193.
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2010. 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. DPDX – A Common Exchange Format for Design Pattern Detection Tools. 14th European Conference on Software Maintenance and Reengineering (CSMR 2010). :232-235.
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2010. A Drill-Down Approach for Measuring Maintainability at Source Code Element Level. ELECTRONIC COMMUNICATIONS OF THE EASST. 60:20–29.
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2013. A Drill-Down Approach for Measuring Maintainability at Source Code Element Level. Electronic Communications of the {EASST}. 60:1–21.
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2013. A Drill-Down Approach for Measuring Maintainability at Source Code Element Level. Proceedings of the 7th International Workshop on Software Quality and Maintainability (SQM 2013). :20–29.
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2013. Empirical Evaluation of Software Maintainability Based on a Manually Validated Refactoring Dataset. Information and Software Technology. 95
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2018. The Impact of Version Control Operations on the Quality Change of the Source Code. Proceedings of the 14th International Conference on Computational Science and Its Applications (ICCSA 2014). 8583:353–369.
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2014. Impact of Version History Metrics on Maintainability. Proceedings of the 8th International Conference on Advanced Software Engineering & Its Applications (ASEA 2015). :30–35.
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2015. Introducing a Benchmark for Evaluating Reverse Engineering Tools. Proceedings of the Sixth Conference of PhD Students in Computer Science. :25.
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2008. A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. Proceedings of the 12th ACM International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2016). :10:1–10:4.
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2016.