摘要
为了提高监控软件迭代的交付性能,文章提出了一种数据驱动的新方法,用以预测软件迭代的交付能力,为项目管理者提供自动化支持。该方法提取了历史项目迭代和迭代中问题的特征,并使用统计聚合、词袋和基于图的技术将迭代问题特征进行组合来表征迭代。使用多个真实的开源项目数据对该方法进行评估,结果表明,该方法在预测迭代进度方面具有较好的性能。
To improve the performance of monitoring software iteration and delivery,a new data-driven method is proposed to predict the delivery capability of software iteration and provide automation support for project managers.This method extracts the characteristics of historical project iterations and problems in iterations,and uses statistical aggregation,bag-of-words,and graph-based techniques to combine the characteristics of iteration problems to characterize iterations.Real open source project data are used to evaluate the method,and the results show that the method has better performance in predicting the iteration progress.
作者
马波
MA Bo(Information Technology Department,Yangquan Teachers College,Yangquan Shanxi 045000,China)
出处
《萍乡学院学报》
2021年第6期68-72,共5页
Journal of Pingxiang University
关键词
软件交付预测
迭代式开发
数据驱动
software delivery forecast
iterative development
driving by data