[Presentation] 基于时间序列预测模型的Github仓库活跃度计算

[Tenth-crew]

Title

汇报人：游明东

本次汇报介绍目前小论文的整体内容，主要包括以下三个方面：

1. 可供时间序列预测模型使用的标准OSS仓库活动指标数据集。
2. 表示仓库未来活跃度的分数。

Link

• How Early Participation Determines Long-Term Sustained Activity in GitHub Projects?
• Is this GitHub project maintained? Measuring the level of maintenanceactivity of open-source projects
• Trend Prediction of GitHub using Time Series Analysis

Year

对应论文顺序

• 2023
• 2020
• 2021

Author and affiliation

对应论文顺序

• Wenxin Xiao， School of Computer Science, Peking University
• Jailton Coelho， ederal University of Minas Gerais, Brazil
• Varuna T V，Dept.of Computer Science & Engineering NSS College of Engineering

Conference or Journal

对应论文顺序

• 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023)
• Information and Software Technology
• 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR)

Rank

对应论文顺序

• CCF A
• CCF C
• CCF C

Keywords

• Open source software
• dataset
• acitivity score

Selecting Reason

No response

Supplementary

No response