Machine learning in software defect prediction: A business-driven systematic mapping study S Stradowski, L Madeyski Information and Software Technology 155, 107128, 2023 | 28 | 2023 |
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 | 21 | 2023 |
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 | 20 | 2023 |
Can we Knapsack Software Defect Prediction? Nokia 5G Case S Stradowski, L Madeyski 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 6 | 2023 |
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 | 5 | 2023 |
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 | 3 | 2024 |
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 | 2 | 2025 |
Interpretability/Explainability Applied to Machine Learning Software Defect Prediction: An Industrial Perspective S Stradowski, L Madeyski IEEE Software, 2024 | 1 | 2024 |
" Your Ai is Nice, But My Code Does Not Have Any Bugs" Managing False Positives in Industrial Contexts S Stradowski, L Madeyski | | |