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Complementing Approaches in ERP Effort Estimation Practice: an Industrial Study Maya Daneva
Table of Contents ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Estimating ERP Projects: Some Challenges
The Solution ,[object Object],[object Object],[object Object],[object Object]
The Solution: A High-level View
The Steps
The Case Study: Planning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Case Study: Execution  Example: Probability distribution of project effort in person/months
The Case Study: Execution  Example: Probability distribution of time in months
The Results (I)  ,[object Object],[object Object],[object Object],98.88% 96.87% Very high 76.52% 68.78% Very low Under time constraints Under effort constraints Probability of success REUSE rating
The Results (II):  Are projects more successful when managed as a portfolio?  Context: Under effort constraint 1.16 97.76% 84.31% High uncertainty 1.05 98.81% 93.78% Low uncertainty Portfolio (b) Individual projects (a) Ratio of increase (a)/(b) Probability of success Uncertainty level  of cost drivers
The Results (III):  Are projects more successful when managed as a portfolio?  Context: Under time constraint 9.13 75.91% 8.31% High uncertainty 5.55 87.52% 15.76% Low uncertainty Portfolio (b) Individual projects (a) Ratio of increase (a)/(b) Probability of success Uncertainty level of cost drivers
Validity Concerns ,[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object]
Thank you !

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Complementing Approaches in ERP Effort Estimation Practice: an Industrial Study

  • 1. Complementing Approaches in ERP Effort Estimation Practice: an Industrial Study Maya Daneva
  • 2.
  • 3.
  • 4.
  • 5. The Solution: A High-level View
  • 7.
  • 8. The Case Study: Execution Example: Probability distribution of project effort in person/months
  • 9. The Case Study: Execution Example: Probability distribution of time in months
  • 10.
  • 11. The Results (II): Are projects more successful when managed as a portfolio? Context: Under effort constraint 1.16 97.76% 84.31% High uncertainty 1.05 98.81% 93.78% Low uncertainty Portfolio (b) Individual projects (a) Ratio of increase (a)/(b) Probability of success Uncertainty level of cost drivers
  • 12. The Results (III): Are projects more successful when managed as a portfolio? Context: Under time constraint 9.13 75.91% 8.31% High uncertainty 5.55 87.52% 15.76% Low uncertainty Portfolio (b) Individual projects (a) Ratio of increase (a)/(b) Probability of success Uncertainty level of cost drivers
  • 13.
  • 14.

Hinweis der Redaktion

  1. To say the introduction section from the paper