Basic estimation techniques
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Revision as of 16:11, 21 February 2019
Contents |
Abstract
When managing a project, a manager has to achieve specific objects within time, resources and money. This can often be challenging, as there is a lot of uncertainty in doing so. How can the amount of time for each activity be calculated? How many resources are needed to complete every task? And how much will the project cost in the end?
This article deals with answering all these questions and focuses on how to come up with educated guesses to these uncertainties. In the first section, a definition of what an estimate is and why it matters will be given. A variety of different best practices used in the estimation process will then be presented. Some of these practices are more complex than others and will therefore require a more detailed explanation. There will be given examples on how and when to apply these methods, to give an understanding of which techniques to use in certain situations. Furthermore, a general step-by-step guideline to estimating correctly will be provided.
Lastly, the challenges and limitations of using these tools will be discussed, as these can variate in accuracy depending on the size and the type of the projects. The involved risks when estimating will also be covered here.
Definition of estimation
Estimation tecniques
Expert judgement
Analogous estimating
Parametric estimating
Three-point estimating
Data analysis
Decision making
Meetings
Learning curve
Simulation
Bottom-up estimating
Top-down estimating
Limitations
Bla bla bla
References
Bla bla bla
