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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

avatar for Jarosław Hryszko

Jarosław Hryszko

academic degree/title Doctor of Philosophy (PhD) position
research and faculty staff member group, assistant
unit
  • Division of Software Engineering
  • Institute of Computer Science and Computational Mathematics
ORCID contact
jaroslaw.hryszko@uj.edu.pl
www