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Metrics

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Weight. Height. 8. Tables. Simplify some types of analysis ... Weight. Height. 9. Bar Charts. Good for comparisons. Good for trends in small datasets ... – PowerPoint PPT presentation

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Title: Metrics


1
Metrics
  • CSSE 372 - Software Project Management
  • Don Bagert, Rose-Hulman Institute of Technology
  • December 15, 2005
  • Thanks to Mark Ardis for most of the slides
    included.

2
Outline
  • What to measure?
  • How to measure?
  • Presenting the data
  • Analyzing the results

3
What to measure?
  • Product
  • Size of artifacts
  • Complexity of artifacts
  • Process
  • Effort
  • Time
  • Staff
  • Quality
  • Defects
  • Repairs
  • Usability
  • Quality metrics can either involve process or
    product (this is how we will classify them for
    the project)

4
Exercises 1 and 2
List data to be collected
5
How to measure?
  • Passive
  • measure artifacts
  • log activities via tools
  • Data collection forms
  • part of the process (change requests)
  • logs
  • special requests

6
Exercise 3
Decide how to collect data
7
Presentation of data
  • Tables
  • Graphs
  • Bar charts
  • Line charts
  • Pie charts
  • Equations

8
Tables
  • Simplify some types of analysis
  • Easily converted to other forms (graphs, input to
    programs)

9
Bar Charts
  • Good for comparisons
  • Good for trends in small datasets

10
Line Charts
  • Good for showing trends, even for large datasets
  • Need to sort data first

11
Pie Charts
  • Good for comparisons

12
Equations
  • Good for deriving consequences
  • May be used to validate data

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13
Exercise 4
Decide on presentation style
14
Analysis of results
  • Pareto analysis
  • 20 of the activities cause 80 of the problem
  • Comparison to standards
  • industry baseline
  • rules of thumb
  • Trend analysis
  • compare behavior over time
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