| 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 | 18 | 2023 |
| Machine learning in software defect prediction: A business-driven systematic mapping study S Stradowski, L Madeyski Information and Software Technology 155, 107128, 2023 | 14 | 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 | 11 | 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 | 3 | 2023 |
| Can we Knapsack Software Defect Prediction? Nokia 5G Case S Stradowski, L Madeyski 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 3 | 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 | 1 | 2024 |
| Predicting Test Failures Induced by Software Defects: A Lightweight Alternative to Software Defect Prediction and its Industrial Application L Madeyski, S Stradowski | 1 | 2024 |
| Interpretability/Explainability applied to Machine Learning Software Defect Prediction: Industrial Perspective S Stradowski, L Madeyski | | 2024 |
