Jaroslaw Hryszko

According to our database, Jaroslaw Hryszko authored at least 11 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

The Randomness Floor: Measuring Intrinsic Non-Randomness in Language Model Token Distributions.

Jaroslaw Hryszko

CoRR, April, 2026

Do Large Language Models Get Caught in Hofstadter-Mobius Loops?

Jaroslaw Hryszko

CoRR, March, 2026

2025

Leveraging Large Language Models for Software Defect Detection.

Ewa Wozny, Jaroslaw Hryszko, Adam Roman

Proceedings of the Software Engineering and Advanced Applications, 2025

"To Measure Is to Know", but Not in Software Engineering. A Call for Operational Definitions of Code Metrics.

Adam Roman, Michal Mnich, Jaroslaw Hryszko

Proceedings of the Software Engineering and Advanced Applications, 2025

2024

Mi-Go: tool which uses YouTube as data source for evaluating general-purpose speech recognition machine learning models.

Tomasz Wojnar, Jaroslaw Hryszko, Adam Roman

EURASIP J. Audio Speech Music. Process., December, 2024

2023

Mi-Go: Test Framework which uses YouTube as Data Source for Evaluating Speech Recognition Models like OpenAI's Whisper.

Tomasz Wojnar, Jaroslaw Hryszko, Adam Roman

CoRR, 2023

Empirical Verification of TQED - A New Test Design Heuristic Technique.

Adam Roman, Michal Mnich, Jaroslaw Hryszko

Proceedings of the Testing Software and Systems, 2023

Enhancing Software Defect Prediction: Exploring the Predictive Power of Two Data Flow Metrics.

Adam Roman, Rafal Brozek, Jaroslaw Hryszko

Proceedings of the Evaluation of Novel Approaches to Software Engineering, 2023

Predictive Power of Two Data Flow Metrics in Software Defect Prediction.

Adam Roman, Rafal Brozek, Jaroslaw Hryszko

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

2017

Defect prediction with bad smells in code.

Jaroslaw Hryszko, Lech Madeyski, Marta Dabrowska, Piotr Konopka

CoRR, 2017

2016

Assessment of the Software Defect Prediction Cost Effectiveness in an Industrial Project.

Jaroslaw Hryszko, Lech Madeyski

Proceedings of the Software Engineering: Challenges and Solutions, 2016