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Szymon Stradowski
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Cited by
Year
Machine learning in software defect prediction: A business-driven systematic mapping study
S Stradowski, L Madeyski
Information and Software Technology 155, 107128, 2023
282023
Exploring the challenges in software testing of the 5G system at Nokia: A survey
S Stradowski, L Madeyski
Information and Software Technology 153, 107067, 2023
212023
Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review
S Stradowski, L Madeyski
Information and Software Technology 159, 107192, 2023
202023
Can we Knapsack Software Defect Prediction? Nokia 5G Case
S Stradowski, L Madeyski
2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023
62023
Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations
S Stradowski, L Madeyski
2023 38th IEEE/ACM International Conference on Automated Software …, 2023
52023
Costs and benefits of machine learning software defect prediction: Industrial case study
S Stradowski, L Madeyski
Companion Proceedings of the 32nd ACM International Conference on the …, 2024
32024
Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application
L Madeyski, S Stradowski
Journal of Systems and Software, 112360, 2025
22025
Interpretability/Explainability Applied to Machine Learning Software Defect Prediction: An Industrial Perspective
S Stradowski, L Madeyski
IEEE Software, 2024
12024
" Your Ai is Nice, But My Code Does Not Have Any Bugs" Managing False Positives in Industrial Contexts
S Stradowski, L Madeyski
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Articles 1–9