Predicting Popularity of Open Source Projects Using Recurrent Neural Networks

Author:

Sahin Sefa Eren,Karpat Kubilay,Tosun Ayse

Publisher

Springer International Publishing

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. “Paper, Meet Code”: A Deep Learning Approach to Linking Scholarly Articles With GitHub Repositories;IEEE Access;2024

2. Analyzing Maintenance Activities of Software Libraries;Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering;2023-06-14

3. A sensitivity analysis of factors influential to the popularity of shared data in data repositories;Journal of Informetrics;2021-08

4. A Literature Review of Using Machine Learning in Software Development Life Cycle Stages;IEEE Access;2021

5. A composed technical debt identification methodology to predict software vulnerabilities;Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings;2020-06-27

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