首页> 外文会议>International conference on computer and automation engineering >Prediction of Software Project Effort using Linear Regression Model
【24h】

Prediction of Software Project Effort using Linear Regression Model

机译:使用线性回归模型预测软件项目的工作量

获取原文

摘要

It is well known fact that predicting software effort for the software development projects with any acceptable degree remains challenging. In this paper we have used the organic software projects because in each case the projects size lies between 2-50 KLOC. In this paper we have applied the linear regression model i.e. Effort = -1.5 + 0.1804 FP to predict the software project effort and function point. After obtaining the software effort, project manager can arrange the project progress, control the cost and ensures the quality more accurately.
机译:众所周知的事实是,以任何可接受的程度来预测软件开发项目的软件工作量仍然具有挑战性。在本文中,我们使用了有机软件项目,因为在每种情况下,项目规模都在2-50 KLOC之间。在本文中,我们应用了线性回归模型即Effort = -1.5 + 0.1804 FP来预测软件项目的工作量和功能点。在获得软件工作量之后,项目经理可以安排项目进度,控制成本并更准确地确保质量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号