Publications
Found 8 results
Author Keyword [ Title] Type Year Filters: Author is Ferenc, Rudolf [Clear All Filters]
Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. :8–14.
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2019. Columbus – Tool for Reverse Engineering Large Object Oriented Software Systems. Proceedings of the 7th Symposium on Programming Languages and Software Tools (SPLST 2001). :16–27.
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2001. Deep-water framework: The Swiss army knife of humans working with machine learning models. SoftwareX. 12:100551.
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2020. Mining Design Patterns from C++ Source Code. Proceedings of the International Conference on Software Maintenance.
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2003. Prediction models for performance, power, and energy efficiency of software executed on heterogeneous hardware. JOURNAL OF SUPERCOMPUTING. 75:4001-4025.
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2019. Recognizing Design Patterns in C++ programs with the integration of Columbus and Maisa. Proceedings of the 7th Symposium on Programming Languages and Software Tools (SPLST 2001). :58–70.
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2001. Survey of Code-size Reduction Methods. ACM Comput. Surv.. 35:223–267.
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2003. Towards a Standard Schema for C/C++. Proceedings of the 8th Working Conference on Reverse Engineering (WCRE 2001). :49–58.
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2001.