Can we Knapsack Software Defect Prediction? Nokia 5G Case. - Szymon Stradowski; Lech Madeyski (ICSE Companion, 2023)

Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations. - Szymon Stradowski; Lech Madeyski (ASE, 2023)

Exploring the challenges in software testing of the 5G system at Nokia: A survey. - Szymon Stradowski; Lech Madeyski (Inf. Softw. Technol., 2023)

Machine learning in software defect prediction: A business-driven systematic mapping study. - Szymon Stradowski; Lech Madeyski (Inf. Softw. Technol., 2023)

Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review. - Szymon Stradowski; Lech Madeyski (Inf. Softw. Technol., 2023)

Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case Study. - Szymon Stradowski; Lech Madeyski (SIGSOFT FSE Companion, 2024)

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)

"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)

Interpretability/Explainability Applied to Machine Learning Software Defect Prediction: An Industrial Perspective. - Szymon Stradowski; Lech Madeyski (IEEE Softw., 2025)