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ORCIDIstván Kádár
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2010 – 2019
- 2018
[b1]István Kádár:
Symbolic Execution for Runtime Error Detection and Investigation of Refactoring Activity Based on a New Dataset. University of Szeged, Hungary, 2018- [j3]Péter Hegedüs, István Kádár, Rudolf Ferenc
, Tibor Gyimóthy:
Empirical evaluation of software maintainability based on a manually validated refactoring dataset. Inf. Softw. Technol. 95: 313-327 (2018) - 2017
- [j2]István Kádár:
The Optimization of a Symbolic Execution Engine for Detecting Runtime Errors. Acta Cybern. 23(2): 573-597 (2017) - 2016
- [c4]István Kádár, Péter Hegedüs, Rudolf Ferenc, Tibor Gyimóthy:
Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. ICCSA (4) 2016: 610-624 - [c3]István Kádár, Péter Hegedüs, Rudolf Ferenc, Tibor Gyimóthy:
A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. PROMISE 2016: 10:1-10:4 - [c2]István Kádár, Péter Hegedüs, Rudolf Ferenc, Tibor Gyimóthy:
A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. SANER 2016: 599-603 - 2015
- [c1]István Kádár, Péter Hegedüs, Rudolf Ferenc:
Adding Constraint Building Mechanisms to a Symbolic Execution Engine Developed for Detecting Runtime Errors. ICCSA (5) 2015: 20-35 - 2014
- [j1]István Kádár, Péter Hegedüs, Rudolf Ferenc:
Runtime Exception Detection in Java Programs Using Symbolic Execution. Acta Cybern. 21(3): 331-352 (2014)
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