Open Source Software Success Measurement Method Based on Mining Software Repository

被引：0
作者：
Ning D.-J. [1 ]
Ye P.-G. [2 ]
Liu Q. [1 ]
Li M. [3 ]
机构：
[1] School of Software Engineering, Tongji University, Shanghai
[2] School of Communication and Information Engineering, Shanghai University, Shanghai
[3] Shanghai Advanced Research Institute, Chinese Academy of Science, Shanghai
来源：
| 2018年 / Chinese Institute of Electronics卷 / 46期
关键词：
Data mining; DM model; Open source software; Principal component analysis; Quantitative analysis; Software engineering; Software viability model; Success measurement model;
D O I：
10.3969/j.issn.0372-2112.2018.12.015
中图分类号：
学科分类号：
摘要：
The open source software (OSS) is widely used in various software fields, such as operating system, container, etc.But there is no method to measure open source software comprehensively.Based on the measurement of user interest and the development of participation metrics, we propose a method that can overcome the single limitation of the metric dimension.Based on DM model, software viability model and other relevant literature research, mining of software repository, we consider the OSS development process and propose an OSS success evaluation model through clustering, principal component analysis and regression analysis.By comparing the metric score of user interest method and development participation method, the evaluation model can be used to measure the success of OSS projects based on the data collected automatically without interference.The evaluation model can be applied to select high quality open source projects, academic research, intelligent project recommendation, etc. © 2018, Chinese Institute of Electronics. All right reserved.
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页码：2930 / 2935
页数：5
相关论文
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