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Eksporty
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| 261997 | 105041319556 |
Lech Madeyski, Barbara Kitchenham*, Martin Shepperd*
LLM4SCREENLIT: Recommendations on assessing the performance of large language models for screening literature in systematic reviews. Information and Software Technology 2026 vol. 198, art. 108204, s. 1-20.
| 2026 | |
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2
| 261697 | 105040401726 |
Natalia J. Piórkowska, Lech Madeyski, Marcin Leśniewski*, Grzegorz Franik*, Anna Bizoń*
Thyroid autoimmunity does not delineate a cardiometabolic or androgenic phenotype in women with polycystic ovary syndrome: a pre-specified cross-sectional analysis. Frontiers in Endocrinology 2026 vol. 17, art. 1839476, s. 1-12.
| 2026 | |
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3
| 261252 | 105035677537 |
Fahad Al Debeyan*, Tracy Hall*, Lech Madeyski, Emily Winter*
How vulnerability explanations help software practitioners confirm and fix code vulnerabilities. Information and Software Technology 2026 vol. 195, art. 108086, s. 1-16.
| 2026 | |
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4
| 261256 | 105034481296 |
Tomasz Chojnacki*, Lech Madeyski
Test case prioritization: A systematic review using snowballing and TCPFramework with approach combinators. Information and Software Technology 2026 vol. 194, art. 108062, s. 1-17.
| 2026 | |
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5
| 257174 | 105013961986 |
Fahad Al Debeyan*, Tracy Hall*, Lech Madeyski
Emerging results in using explainable AI to improve software vulnerability prediction. New York, NY : Association for Computing Machinery, cop. 2025. s. 561-565.
| 2025 | |
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6
| 255959 | 105004412682 |
Szymon Stradowski, Lech Madeyski
“Your AI is impressive, but my code does not have any bugs” managing false positives in industrial contexts. Science of Computer Programming 2025 vol. 246, art. 103320, s. 1-5.
| 2025 | |
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7
| 252536 | 105003030143 |
Szymon Stradowski, Lech Madeyski
Interpretability/explainability applied to machine learning software defect prediction: An industrial perspective. IEEE Software 2025 vol. 42, nr 3, s. 125-132. [Publikacja zarejestrowana jako preonline dn. 10.01.2025, rok zaliczenia 2025. Wersja ostateczna zarejestrowana 08.04.2025, rok zaliczenia 2025.]
| 2025 | |
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8
| 253842 | 85216854849 |
Lech Madeyski, Szymon Stradowski
Predicting test failures induced by software defects: a lightweight alternative to software defect prediction and its industrial application. Journal of Systems and Software 2025 vol. 223, art. 112360, s. 1-18. [Publikacja zarejestrowana jako preonline dn. 04.02.2025, rok zaliczenia 2025. Wersja ostateczna zarejestrowana 10.02.2025, rok zaliczenia 2025.]
| 2025 | |
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9
| 250648 | 85204634679 |
Krzysztof Wnuk*, Lech Madeyski, Waleed Abdeen*, Sneha Penmetsa*, Navya Lingampalli*
An empirical analysis of the usage of requirements attributes in requirements engineering research and practice. Cham : Springer, cop. 2024. s. 29-40.
| 2024 | |
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10
| 249724 | 85201409147 |
Barbara Kitchenham*, Lech Madeyski
Recommendations for analysing and meta-analysing small sample size software engineering experiments. Empirical Software Engineering 2024 vol. 29, art. nr 137, s. 1-46.
| 2024 | |
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