1. Familiar Metrics Management
Based on Lawrence H. Putnam & Ware Myers

2. Five Metrics Six Management Functions Presenting Eric Driggs
Familiar Metrics
Five Metrics
Six Management Functions
Presenting Eric Driggs

3. The Five Metric Categories
Time
Cost
Productivity
Quantity (Scale)
Quality

4. Six Management Functions
Bid estimation
Date planning
Quality testing
Resource allocation
Process improvement monitoring
Progress monitoring

5. Metrics matched with Functions
Time =>
Cost =>
Quality =>
Productivity => & Quantity
Date planning
Bid estimation
Quality testing
Progress monitoring
Resource allocation
Process improvement monitoring

6. Example Metrics Quantity Time Cost Quality Productivity
Lines of source code / function points
Time
Schedule
Shipping Date
Cost
Billable hours * labor rate
Quality
Number of defects in
requirements, design
Found each month
Productivity
Lines of source code per person-month

7. End of Part 1 THANK YOU

8. Presenting Arastu SHAH`
THE Rayleigh curve
Presenting Arastu SHAH`

9. The RelationSHIP of TIME and PRoductivity

10. RAYLEIGH CURVE The productivity relationship
It incorporates the amount of work done, the effort devoted to doing it, and the very important time factor.
In 1950, Peter V. Norden of the IBM Development Laboratory, Poughkeepsie, NY had found a relationship between the assignment of people to a research and development project and the development time of the work being done.
This relationship is modeled by a curve named after Lord Rayleigh, the great British physicist.

11. Rayleigh curve

12. End of Part 2 THANK YOU

13. The Software Equation
Presenting Omer Azmon

14. The Software Equation The basic software equations is S = c x E x T
where:
S is size in terms of functionality or LOC
c is some productivity constant
E is effort such as man-months
T is time such as month

15. NON-LINEARITY The software equation is nonlinear.
Norden using Rayleigh equation anticipated this finding long ago.

16. The Software Equation The full software equations is
S = c x (E/sf)1/3 x T4/3
where:
S is size in terms of functionality or LOC
c is some productivity constant
E is effort such as man-months
sf is some skill factor of the group selected
T is time such as month

17. Small Changes IN ScheduLE
We could manipulate the time and effort relationships by algebraic methods using the equation of the curve.
So C = E x T4
C is the project size and productivity as a constant
E is effort such as man-months
T is time such as month

18. Sample InSIGHT
Conventional productivity: LOC per man- month — falters in practice for estimation.
Instead the Equation takes into account
The productivity of an entire organization
The productivity of the process relative to the time period covered
The effect of the development time planned or allowed
The effect of size

19. End of Part 3 THANK YOU