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Study the correlation between the readme file of GitHub projects and their popularity.

, , и . J. Syst. Softw., (ноября 2023)

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Hsun Shan Chen

Oliver Tse

Oliver Tse

Chen Chen

Chen Chen

 

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Studying software logging using topic models., , , и . Empirical Software Engineering, 23 (5): 2655-2694 (2018)MLASP: Machine learning assisted capacity planning., и . Empir. Softw. Eng., 26 (5): 87 (2021)Studying and recommending information highlighting in Stack Overflow answers., , , , и . Inf. Softw. Technol., (2024)Decoding Anomalies! Unraveling Operational Challenges in Human-in-the-Loop Anomaly Validation., , , , , , и . SIGSOFT FSE Companion, стр. 382-387. ACM, (2024)Study the correlation between the readme file of GitHub projects and their popularity., , и . J. Syst. Softw., (ноября 2023)Studying Test Annotation Maintenance in the Wild., , , и . ICSE, стр. 62-73. IEEE, (2021)Studying backers and hunters in bounty issue addressing process of open source projects., , , , и . Empir. Softw. Eng., 26 (4): 81 (2021)Would you like a quick peek? providing logging support to monitor data processing in big data applications., , , и . ESEC/SIGSOFT FSE, стр. 516-526. ACM, (2021)Adopting autonomic computing capabilities in existing large-scale systems: an industrial experience report., , , , и . ICSE (SEIP), стр. 1-10. ACM, (2018)DVC in Open Source ML-development: The Action and the Reaction., , , , , , , , и . CAIN, стр. 75-80. ACM, (2024)