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Who Will Become a Long-Term Contributor?: A Prediction Model based on the Early Phase Behaviors.

, , , , and . Internetware, page 9:1-9:10. ACM, (2018)

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Towards High Performance and High Availability Clusters of Archived Stream., , , and . APWeb/WAIM, volume 4505 of Lecture Notes in Computer Science, page 876-883. Springer, (2007)Policy Based Self-Adaptive Scheme in Pervasive Computing., , , , and . Wirel. Sens. Netw., 1 (1): 48-55 (2009)A Exploratory Study of @-Mention in GitHub's Pull-Requests., , , and . APSEC (1), page 343-350. IEEE Computer Society, (2014)Harnessing the crowd wisdom for software trustworthiness.. ACM SIGSOFT Softw. Eng. Notes, 43 (1): 1-6 (2018)Collaborative deep learning across multiple data centers., , , , , , , and . Sci. China Inf. Sci., 63 (8): 1-11 (2020)Why API documentation is insufficient for developers: an empirical study., , , , and . Sci. China Inf. Sci., (2021)SPGM: an efficient algorithm for mapping MapReduce-like data-intensive applications in data centre network., , , and . Int. J. Web Grid Serv., 9 (2): 172-192 (2013)Are You Still Working on This? An Empirical Study on Pull Request Abandonment., , , , , and . IEEE Trans. Software Eng., 48 (6): 2173-2188 (2022)Software Engineering for OpenHarmony: A Research Roadmap., , , , , , , , , and 5 other author(s). CoRR, (2023)Intelligent Computing: The Latest Advances, Challenges and Future., , , , , , , , , and 11 other author(s). CoRR, (2022)