Oleksandr Zaitsev
10
Documents
Affiliations actuelles
- 1058544
- 11574
- 1100589
Identifiants chercheurs
- oleksandr-zaitsev
- 0000-0003-0267-2874
- Google Scholar : https://scholar.google.com/citations?user=slO6qqMAAAAJ
- IdRef : 267612389
Présentation
Domaines de recherche
Compétences
Publications
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Deprewriter: On the fly rewriting method deprecations.The Journal of Object Technology, 2022, 21 (1), pp.1-23. ⟨10.5381/jot.2022.21.1.a1⟩
Article dans une revue
hal-03563605v1
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What do developers consider magic literals? A smalltalk perspectiveInformation and Software Technology, 2022, 149, ⟨10.1016/j.infsof.2022.106942⟩
Article dans une revue
hal-03679130v1
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Characterizing Pharo Code: A Technical Report[Technical Report] Inria Lille Nord Europe - Laboratoire CRIStAL - Université de Lille; Arolla. 2020
Rapport
hal-02440055v1
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Pharo DataFrame: Past, Present, and FutureInternational Workshop on Smalltalk Technologies, Aug 2023, Lyon, France
Communication dans un congrès
hal-04212030v1
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Cormas: The Software for Participatory Modelling and its Application for Managing Natural Resources in SenegalThe 2nd workshop on Resource AWareness of Systems and Society (RAW 2023), Aug 2023, Limassol, Cyprus
Communication dans un congrès
hal-04243082v1
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DepMiner: Automatic Recommendation of Transformation Rules for Method DeprecationICSR 2022 - 20th International Conference on Software and System Reuse, Jun 2022, Montpellier, France
Communication dans un congrès
hal-03647706v1
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How Fast is AI in Pharo? Benchmarking Linear RegressionIWST22 - International Workshop on Smalltalk Technologies, Aug 2022, Novi Sad, Serbia
Communication dans un congrès
hal-03768601v2
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Suggesting Descriptive Method Names: An Exploratory Study of Two Machine Learning ApproachesQUATIC 2020 - 13th International Conference on the Quality of Information and Communications Technology, Sep 2020, Faro / Virtual, Portugal
Communication dans un congrès
hal-02962334v1
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Magic Literals in PharoIWST19 - International Workshop on Smalltalk Technologies, Aug 2019, Köln, Germany
Communication dans un congrès
hal-02266137v1
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Data Mining-based tools to support library updateMachine Learning [cs.LG]. Université de Lille, 2022. English. ⟨NNT : 2022ULILB028⟩
Thèse
tel-03998632v1
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