Publications
Brokering solutions for Grid middlewares. Pre-proc. of 1st Doctoral Workshop on Mathematical and Engineering Methods in Computer Science.
.
2005. Bug Forecast: A Method for Automatic Bug Prediction. Advances in Software Engineering. 117:283-295.
.
2010. BugsJS: a Benchmark and Taxonomy of JavaScript Bugs. Software Testing, Verification and Reliability. n/a:e1751.
.
2020. BugsJS: a Benchmark of JavaScript Bugs. 2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST). :90-101.
.
2019. Building a framework for the consistency management of the distributed applications. Proceedings of the 4th International Conference on .NET Technologies. :55-63.
.
2006. 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.
.
2004. 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.
.
2014. Columbus – Tool for Reverse Engineering Large Object Oriented Software Systems. Proceedings of the Seventh Symposium on Programming Languages and Software Tools (SPLST 2001). :16-27.
.
2001. Calculating Metrics from Large C++ Programs. Proceedings of the 6th International Conference on Applied Informatics (ICAI2004). :319-328.
.
2004. Can ChatGPT Fix My Code? Proceedings of the 18th International Conference on Software Technologies. :478-485.
.
2023. Can We Connect Existing Production Grids into a World Wide Grid? High Performance Computing for Computational Science - VECPAR 2008. :109–122.
.
2008. A case study for biochemical application porting in european grids and clouds. Concurrency Computation Practice and Experience. 26:1730-1743.
.
2014. 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.
.
2014. Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. :8-14.
.
2019. 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.
.
2015. CIASYS – Change Impact Analysis at System Level. Proceedings of the 14th European Conference on Software Maintenance and Reengineering (CSMR'10). :203-206.
.
2010. Civil társadalombiztosítást!. Népszabadság.
.
2008. Classifying ECG Waveforms in Prolog. :173-199.
.
1996. Clone Smells in Software Evolution. ICSM. :24-33.
.
2007. Cloud workload prediction based on workflow execution time discrepancies. Cluster Computing. vol 22(3):737-755.
.
2019. Cloud workload prediction by means of simulations. ACM International Conference on Computing Frontiers 2017, CF 2017. :279-282.
.
2017. Coarse Hierarchical Delta Debugging. Proceedings of the 33rd IEEE International Conference on Software Maintenance and Evolution (ICSME 2017). :194–203.
.
2017. Code Clones: Good, Bad, or Ugly? 11th Symposium on Programming Languages and Software Tools SPLST'09. :31-44.
.
2009. Code Clones: Good, Bad, or Ugly? Nordic Journal of Computing. 15:3–17.
.
2012. Code Coverage Differences of Java Bytecode and Source Code. Software Quality Journal. 27(1):79-123.
.
2019.