Agile estimation with Monte Carlo simulation

被引:0
作者
Zang, Juanjuan
机构
来源
AGILE PROCESSES IN SOFTWARE ENGINEERING AND EXTREME PROGRAMMING, PROCEEDINGS | 2008年 / 9卷
关键词
Agile; iteration; release; estimation; velocity; Monte Carlo model; simulation; random number; frequency;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Work estimation is very important for Agile projects, especially for time critical ones. Inaccurate effort estimation can cause over-commitment, scope creep and trust in the team. Though re-estimation sometimes is necessary, it usually doesn't happen due to the time and budget constraints. Moreover, the initial communication and commitment to business users and stakeholders make it more difficult to re-estimate and revise the project plan and launch date. This paper discusses how to manage the estimation uncertainty, reduce the risk of inaccurate estimation, and better communicate to upper management by using Monte Carlo model simulation.
引用
收藏
页码:172 / 179
页数:8
相关论文
共 5 条
[1]  
Cohn M., 2004, User Stories Applied: For Agile Software Development
[2]  
Cohn Mike, 2005, Agile Estimating and Planning
[3]  
DeMarco T., 2003, WALTZING BEARS MANAG
[4]  
Denne Mark, 2003, SOFTWARE NUMBERS LOW
[5]  
Highsmith J., 2004, AGILE PROJECT MANAGE