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驾驭不确定性:采用预测技术实现更好的规划.pdf

上传人: 小小 编号:612467 2025-02-12 54页 60.78MB

1、NAVIGATING UNCERTAINTY Embracing Forecasting for Better PlanningChris Shinkle Director of Innovation,SEPWHAT WELL COVER TODAYReasons we struggle with uncertaintyWhat is a Monte Carlo forecast?Demo the Throughput ForecasterWalk through a real-world exampleDiscuss assumptions and dependenciesQ/A timeL

2、ink to all spreadsheets and examplesIn a 1927 essay,the legendary horror author H.P.Lovecraft wrote that“the oldest and strongest emotion of mankind is fear,and the oldest and strongest kind of fear is fear of the unknown.”-https:/ Lovecraft recognizedand decades of psychological research has borne

3、outis that the human brain is uniquely vulnerable to uncertainty.Uncertainty is so vexing that some people are willing to accept a worse outcome in exchange for uncertaintys removal.“In people with generalized anxiety disorder,research shows that theyre more likely to make choices that they know in

4、the long run will benefit them less,just because it resolves the uncertainty.”https:/ naturally tend to see situations in ONE of two ways:1.Events are certain and can therefore be managed by planning,processes,and reliable budgets2.Or,they are uncertain,and we cant manage them well at all.-https:/hb

5、r.org/2020/02/develop-a-probabilistic-approach-to-managing-uncertaintyHOW DO YOU TO FIGURE THIS OUT TODAY?When will my software project be done?chrisshinkleFORECASTING USING THE MONTE CARLO METHODA Monte Carlo simulation is used to model the probability of different outcomes in a process that cannot

6、 easily be predicted due to the intervention of random variables.It is a technique used to understand the impact of risk and uncertainty.chrisshinkleSOFTWARE PROJECT EXAMPLE10 Stories*in week80 Stories left to completeWhen will it be done?*Could also use story points,tasks,number of items to complet

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本文主要探讨了在不确定性中拥抱预测以更好地进行规划的重要性。作者引入了蒙特卡洛预测方法,这是一种通过模拟风险和不确定性来理解影响的技巧。文章通过软件项目的例子,解释了确定性方法和概率方法的区别,强调了概率方法在处理不确定性和风险时的必要性。作者还提出了一个通过产出、增长和节奏模型来进行预测的框架。文章讨论了如何使用这个框架来分析和规划项目,包括识别关键假设和依赖关系,并通过案例研究展示了如何应用这些方法。最后,作者强调了在预测中考虑新信息的重要性,并提出了可能导致预测失败的原因。
"如何应对不确定性?" "蒙特卡洛预测法是什么?" "如何在软件项目中有效规划?"
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