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RODZAJE PRAC:
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| 263345 | |
Marcin Kawalerowicz, Marcin M Pietranik
Controlling variance suppression in multidimensional code-quality scoring: alternative reward functions within the Prismetrix framework. W: Computational Collective Intelligence : 18th International Conference, ICCCI 2026, Heraklion, Crete, Greece, September 23–25, 2026 : proceedings, Pt. 2 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer Nature Switzerland AG, cop. 2027. s. 395-410.
| 2027 | |
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2
| 259077 | 105023151221 |
Marcin Kawalerowicz, Marcin M Pietranik
A systematic approach to measuring developer productivity: the Prismetrix method. W: Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 1 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer Nature Switzerland AG, cop. 2026. s. 331-345.
| 2026 | |
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3
| 259078 | 105023184393 |
Marcin Kawalerowicz, Marcin M Pietranik, Krzysztof A Stępniak
LLMS as code review agents: a rapid review and experimental evaluation with human expert judges. W: Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 1 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer Nature Switzerland AG, cop. 2026. s. 346-360.
| 2026 | |
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4
| 259748 | |
Marcin Kawalerowicz
Secure Software Development Life Cycle: Przegląd Stosowanych Praktyk Bezpieczeństwa. W: Zastosowania zaawansowanych obliczeń klasycznych i kwantowych w nauce i technice. Aktualności badawcze / red. Radosław Idzikowski, Mateusz A. Kucharski. Warszawa : Akademicka Oficyna Wydawnicza EXIT, 2025. s. 135-146. (Problemy Współczesnej Nauki, Teoria i Zastosowania)
| 2025 | |
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5
| 243236 | |
Marcin Kawalerowicz*
Using agile experimentation in an industrial software development environment to study continuous test-driven development. Raporty Katedry Informatyki Stosowanej. 2024, Ser. PRE; nr 5. [12], 131 s.
| 2023 | |
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6
| 239616 | 85153101678 |
Marcin Kawalerowicz*, Lech Madeyski
Continuous build outcome prediction: an experimental evaluation and acceptance modelling. Applied Intelligence 2023 vol. 53, s. 8673-8692. [Publikacja zarejestrowana jako preonline dn. 24.04.2023, rok zaliczenia 2023. Wersja ostateczna zarejestrowana 16.05.2023, rok zaliczenia 2023.]
| 2023 | |
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7
| 232864 | 85112728681 |
Marcin Kawalerowicz*, Lech Madeyski
Continuous build outcome prediction: a small-n experiment in settings of a real software project. W: Advances and trends in artificial intelligence: from theory to practice: 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26-29, 2021 : proceedings. Pt. 2 / eds. Hamido Fujita [i in.]. Cham : Springer Nature, cop. 2021. s. 412-425.
| 2021 | |
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8
| 232867 | 85112711831 |
Marcin Kawalerowicz*, Lech Madeyski
Jaskier: a supporting software tool for continuous build outcome prediction practice. W: Advances and trends in artificial intelligence: from theory to practice: 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26-29, 2021 : proceedings. Pt. 2 / eds. Hamido Fujita [i in.]. Cham : Springer Nature, cop. 2021. s. 426-438.
| 2021 | |
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9
| 224823 | 85077458483 |
Lech Madeyski, Marcin Kawalerowicz*
Empirical evaluation of continuous test-driven development in industrial settings. Journal of Intelligent & Fuzzy Systems 2019 vol. 37, nr 6, s. 7643-7655.
| 2019 | |
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10
| 212054 | 85027245751 |
Lech Madeyski, Marcin Kawalerowicz*
Continuous test-driven development: a preliminary empirical evaluation using agile experimentation in industrial settings. W: Towards a synergistic combination of research and practice in software engineering / Piotr Kosiuczenko, Lech Madeyski (Eds.). Cham : Springer, cop. 2018. s. 105-118. (Studies in Computational Intelligence, ISSN 1860-949X; vol. 733)
| 2018 | |
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