Familiar Metrics Management

1
Familiar Metrics Management

• Based on Lawrence H. Putnam Ware Myers

2
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 gt
• Cost gt
• Quality gt
• Productivity gt Quantity

• Date planning
• Bid estimation
• Quality testing
• Progress monitoring
• Resource allocation
• Process improvement monitoring

6
Example Metrics

• Quantity
• 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

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End of Part 1THANK YOU
8
THE Rayleigh curve

• Presenting Arastu SHAH

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The RelationSHIP of TIME and PRoductivity
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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.

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Rayleigh curve
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End of Part 2THANK 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

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NON-LINEARITY

• The software equation is nonlinear.
• Norden using Rayleigh equation anticipated this
  finding long ago.

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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

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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

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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

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End of Part 3THANK YOU