Recent publications
- Tomasz Wojnar, Jarosław Hryszko, Adam Roman, Mi-Go: tool which uses YouTube as data source for evaluating general-purpose speech recognition machine learning models, EURASIP Journal on Audio Speech and Music Processing 2024 (2024), 1-17
- Adam Roman, Michał Mnich, Jarosław Hryszko, Empirical Verification of TQED - A New Test Design Heuristic Technique, International Conference on Testing Software and Systems [ICTSS] 14131, Lecture Notes in Computer Science (2023), 1-17
- Adam Roman, Rafał Brożek, Jarosław Hryszko, Predictive Power of Two Data Flow Metrics in Software Defect Prediction, International Conference on Evaluation of Novel Approaches to Software Engineering [ENASE], (2023), 114-125
- Jarosław Hryszko, Lech Madeyski, Cost effectiveness of software defect prediction in an industrial project, Foundations of Computing and Decision Sciences 43 (2018), 7-35
- Jarosław Hryszko, Lech Madeyski, Assessment of the Software Defect Prediction Cost Effectiveness in an Industrial Project, vol. 504 (2017), "Software Engineering: Challenges and Solutions", Springer
Interests
- Software defect prediction methods;
- Data mining in software quality assurance;
- Software t̛͙̘͇̳͕̱̦̗̿e̳̳̥̱͙͎̝ͩ̈́s̮͍̻͉̳̖͑͂ͦ͜ť̴̹͔̬̣ͯ̑̆i̡̝̪̲͉̖̭͐ͤn̴̙͚̲̤͖̂̅ͬ̐g̸̻̳͉̅ͪ̅
Jarosław Hryszko
academic degree/title Doctor of Philosophy (PhD) positionresearch and faculty staff member group, assistant
unit
- Division of Software Engineering
- Institute of Computer Science and Computational Mathematics
jaroslaw.hryszko@uj.edu.pl
www