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Frank Vogelezang
Manager Pricing Office – Ordina
MPC Member – COSMIC

Parametric Estimation
for reliable IT Project Estimates
Introduction

2

17

Frank Vogelezang

120 km new railway

Extending the support
for the method by
by targeted guidelines
and improved
documentation

Pricing Office

- Setting commercial price
for our service offerings

- Challenging internal estimates
with parametrics
Agenda
Parametric Estimation for reliable IT Project Estimates

 Estimating
Getting a grip on IT cost and schedule

 Functional Size
Translating requirements to manageable numbers

 The power of parametrics
Building on proven reference data
for cost and schedule estimation
from internal or external sources

3

17
Estimating
Getting a grip on IT cost and schedule
Estimating IT projects

5

17

Two essential routes

Parametrics

Objective

Size

Effort
The Expert

Schedule & Cost
Definition of an estimate
Getting grip on IT cost and schedule
An estimate is

 an analytical and unbiased prediction
 of how long it takes
 and what it will cost

The bias comes from the interplay with targets, commitments and plans

6

17
Viable estimation = Reliable estimates
Getting grip on IT cost and schedule
Analytical

 Can you verify in some way what your experts tell you?
Unbiased

 Will an expert give the same answer twice?
Prediction

 100% certainty costs too much time and resources!

7

17
2.7M

Functional Size
Translating requirements to manageable numbers
Functional Size : Function Point Analysis

9

Translating requirements to manageable numbers

 FPA stands for Function
Point
Analysis

 What the software should be able to do (functionality)
expressed in a number
based on an objectively described method

Function
Point
Analysis

 Something intangible like functionality becomes a physical number that can
be used for calculations

 Five ISO/IEC standards: COSMIC, FiSMA, IFPUG, Mk II & NESMA

17
COSMIC Function Point Analysis : ISO/IEC 19761
Translating requirements to manageable numbers

Entry (E)
Exit (X)

Write (W)

Read (R)

10 17
The power of parametrics
Building on proven reference data
Parametric reality check

12 17

Effort / Cost

Building on proven reference data
Paul Masson’s
Law
Minimal time

Parkinson’s
Law

Realistic
Productivity
Optimal effort

Brooks’
Law

Schedule
How much certainty do you need

13 17

Probability

Building on proven reference data

75% for fixed price projects
90% for safety critical systems

Schedule / Cost

50/50 median result, for a balanced portfolio
First likely option, overly optimistic
Keep track of the actual project

14 17

Where will it end?

Time Variance

Budget Variance
Schedule Variance

Cost Variance
Actual cost
Earned value
Forecast of the outcome with parametrics

15 17

Building on proven reference data for cost and schedule estimation

Cost
Overrun

Schedule
Slippage

Actual cost
Earned value
Total cost (forecast)
Total value (planned)
The power of parametrics

16 17

Viable estimates and cost-effective projects

 Estimate & Plan
 Create a baseline parametric estimate

Estimate
&
Plan

 Develop a Project Plan

 Monitor and Control
 Document actuals
 Create forecast based on parametrics

Monitor
&
Control

Experience &
Knowledge

 Re-estimate and establish new baseline

 Measure and Analyse
 Establish variances for the whole project

Measure
&
Analyse

 Determine parametric parameters
 Incorporate this knowledge in future estimates and plans

Baseline(s) vs
Final Actuals
www.cosmicon.com

ThePriceofIT.blogspot.com

@FrankVogelezang

FrankVogelezang

frank.vogelezang@ordina.nl

www.linkedin.com/in/frankvogelezang

17

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Parametric Estimation for Reliable Project Estimates

  • 1. Frank Vogelezang Manager Pricing Office – Ordina MPC Member – COSMIC Parametric Estimation for reliable IT Project Estimates
  • 2. Introduction 2 17 Frank Vogelezang 120 km new railway Extending the support for the method by by targeted guidelines and improved documentation Pricing Office - Setting commercial price for our service offerings - Challenging internal estimates with parametrics
  • 3. Agenda Parametric Estimation for reliable IT Project Estimates  Estimating Getting a grip on IT cost and schedule  Functional Size Translating requirements to manageable numbers  The power of parametrics Building on proven reference data for cost and schedule estimation from internal or external sources 3 17
  • 4. Estimating Getting a grip on IT cost and schedule
  • 5. Estimating IT projects 5 17 Two essential routes Parametrics Objective Size Effort The Expert Schedule & Cost
  • 6. Definition of an estimate Getting grip on IT cost and schedule An estimate is  an analytical and unbiased prediction  of how long it takes  and what it will cost The bias comes from the interplay with targets, commitments and plans 6 17
  • 7. Viable estimation = Reliable estimates Getting grip on IT cost and schedule Analytical  Can you verify in some way what your experts tell you? Unbiased  Will an expert give the same answer twice? Prediction  100% certainty costs too much time and resources! 7 17
  • 9. Functional Size : Function Point Analysis 9 Translating requirements to manageable numbers  FPA stands for Function Point Analysis  What the software should be able to do (functionality) expressed in a number based on an objectively described method Function Point Analysis  Something intangible like functionality becomes a physical number that can be used for calculations  Five ISO/IEC standards: COSMIC, FiSMA, IFPUG, Mk II & NESMA 17
  • 10. COSMIC Function Point Analysis : ISO/IEC 19761 Translating requirements to manageable numbers Entry (E) Exit (X) Write (W) Read (R) 10 17
  • 11. The power of parametrics Building on proven reference data
  • 12. Parametric reality check 12 17 Effort / Cost Building on proven reference data Paul Masson’s Law Minimal time Parkinson’s Law Realistic Productivity Optimal effort Brooks’ Law Schedule
  • 13. How much certainty do you need 13 17 Probability Building on proven reference data 75% for fixed price projects 90% for safety critical systems Schedule / Cost 50/50 median result, for a balanced portfolio First likely option, overly optimistic
  • 14. Keep track of the actual project 14 17 Where will it end? Time Variance Budget Variance Schedule Variance Cost Variance Actual cost Earned value
  • 15. Forecast of the outcome with parametrics 15 17 Building on proven reference data for cost and schedule estimation Cost Overrun Schedule Slippage Actual cost Earned value Total cost (forecast) Total value (planned)
  • 16. The power of parametrics 16 17 Viable estimates and cost-effective projects  Estimate & Plan  Create a baseline parametric estimate Estimate & Plan  Develop a Project Plan  Monitor and Control  Document actuals  Create forecast based on parametrics Monitor & Control Experience & Knowledge  Re-estimate and establish new baseline  Measure and Analyse  Establish variances for the whole project Measure & Analyse  Determine parametric parameters  Incorporate this knowledge in future estimates and plans Baseline(s) vs Final Actuals