Szymon Stradowski

According to our database, Szymon Stradowski authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Interpretability/Explainability Applied to Machine Learning Software Defect Prediction: An Industrial Perspective.

Szymon Stradowski, Lech Madeyski

IEEE Softw., 2025

"Your AI is impressive, but my code does not have any bugs" managing false positives in industrial contexts.

Szymon Stradowski, Lech Madeyski

Sci. Comput. Program., 2025

Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application.

Lech Madeyski, Szymon Stradowski

J. Syst. Softw., 2025

2024

Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case Study.

Szymon Stradowski, Lech Madeyski

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

2023

Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review.

Szymon Stradowski, Lech Madeyski

Inf. Softw. Technol., July, 2023

Machine learning in software defect prediction: A business-driven systematic mapping study.

Szymon Stradowski, Lech Madeyski

Inf. Softw. Technol., 2023

Exploring the challenges in software testing of the 5G system at Nokia: A survey.

Szymon Stradowski, Lech Madeyski

Inf. Softw. Technol., 2023

Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations.

Szymon Stradowski, Lech Madeyski

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Can we Knapsack Software Defect Prediction? Nokia 5G Case.

Szymon Stradowski, Lech Madeyski

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023