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Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends.

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Release synchronization in software ecosystems., и . Empir. Softw. Eng., 26 (3): 34 (2021)Release synchronization in software ecosystems.. ICSE (Companion Volume), стр. 135-137. IEEE / ACM, (2019)An Open Dataset for Onboarding new Contributors: Empirical Study of OpenStack Ecosystem., , и . ICSE (Companion Volume), стр. 240-241. IEEE, (2021)A Grounded Theory of Cross-Community SECOs: Feedback Diversity Versus Synchronization., , и . IEEE Trans. Software Eng., 49 (10): 4731-4750 (октября 2023)Onboarding vs. Diversity, Productivity, and Quality - Empirical Study of the OpenStack Ecosystem., , и . ICSE, стр. 1033-1045. IEEE, (2021)Cross-distribution Feedback in Software Ecosystems.. ICSE (Workshops), стр. 723-724. ACM, (2020)A mixed-methods analysis of micro-collaborative coding practices in OpenStack., , , и . Empir. Softw. Eng., 27 (5): 120 (2022)Studying the Practices of Testing Machine Learning Software in the Wild., , , , , и . CoRR, (2023)Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends., , , , и . CoRR, (2024)Broadcast vs. Unicast Review Technology: Does It Matter?, , и . ICST, стр. 219-229. IEEE Computer Society, (2017)