Email: lech.madeyski@pwr.edu.pl

Stanowisko: p.o. Kierownika katedry

Jednostka: Wydział Informatyki i Telekomunikacji » Katedra Informatyki Stosowanej

ul. I. Łukasiewicza 3/5, Wrocław
bud. B-4, pok. 4.15
tel. 71 320 2886

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Wybrane publikacje
1	Artykuł 2023 Lech Madeyski, Tomasz P Lewowski, Detecting code smells using industry-relevant data. Information and Software Technology. 2023, vol. 155, art. 107112, s. 1-15. ISSN: 0950-5849; 1873-6025 Zasoby:DOISFX
2	Artykuł 2023 Szymon Stradowski, Lech Madeyski, Machine learning in software defect prediction: a business-driven systematic mapping study. Information and Software Technology. 2023, vol. 155, art. 107128, s. 1-15. ISSN: 0950-5849; 1873-6025 Zasoby:DOISFX
3	Artykuł 2023 Szymon Stradowski, Lech Madeyski, Exploring the challenges in software testing of the 5G system at Nokia: a survey. Information and Software Technology. 2023, vol. 153, art. 107067, s. 1-18. ISSN: 0950-5849; 1873-6025 Zasoby:DOIURLSFX
4	Artykuł 2023 Barbara Kitchenham, Lech Madeyski, David Budgen, SEGRESS: software engineering guidelines for reporting secondary studies. IEEE Transactions on Software Engineering. 2023, vol. 48, nr 3, s. 1273-1298. ISSN: 0098-5589; 1939-3520 Zasoby:DOISFX
5	Artykuł 2023 Barbara Kitchenham, Lech Madeyski, David Budgen, How should software engineering secondary studies include grey material?. IEEE Transactions on Software Engineering. 2023, vol. 49, nr 2, s. 872-882. ISSN: 0098-5589; 1939-3520 Zasoby:DOISFX
6	Rozdział w monografii 2023 Marcel Jerzyk, Lech Madeyski, Code Smells: a comprehensive online catalog and taxonomy. W: Developments in information and knowledge management systems for business applications. Vol. 7 / eds. Natalia Kryvinska, Michal Greguš, Solomiia Fedushko. Cham : Springer, cop. 2023. s. 543-576. ISBN: 978-3-031-25694-3; 978-3-031-25695-0 Zasoby:DOISFX
7	Artykuł 2023 Marcin Kawalerowicz, Lech Madeyski, Continuous build outcome prediction: an experimental evaluation and acceptance modelling. Applied Intelligence. 2023, vol. 53, s. 8673-8692. ISSN: 0924-669X; 1573-7497 Zasoby:DOISFX
8	Rozdział w monografii 2023 Krzysztof Baciejowski, Damian Garbala, Szymon Żmijewski, Lech Madeyski, Are code review smells and metrics useful in pull request-level software defect prediction?. W: Developments in information and knowledge management systems for business applications. Vol. 6 / eds. Natalia Kryvinska, Michal Greguš, Solomiia Fedushko. Cham : Springer, cop. 2023. s. 27-52. ISBN: 978-3-031-27505-0; 978-3-031-27506-7 Zasoby:DOISFX
9	Artykuł 2023 Szymon Stradowski, Lech Madeyski, Industrial applications of software defect prediction using machine learning: a business-driven systematic literature review. Information and Software Technology. 2023, vol. 159, art. 107192, s. 1-17. ISSN: 0950-5849; 1873-6025 Zasoby:DOISFX
10	Artykuł 2022 Tomasz P Lewowski, Lech Madeyski, How far are we from reproducible research on code smell detection? A systematic literature review. Information and Software Technology. 2022, vol. 144, art. 106783, s. 1-16. ISSN: 0950-5849; 1873-6025 Zasoby:DOIURLSFX

Wszystkie publikacje pracownika