Using Test Metrics to Influence Project Behavior

Course Description

How to organize and display all of your software development data can be overwhelming to some, while others think they may be using the most effective strategies without really being sure. This course will guide you through a substantial list of measurement and quantitative techniques and teach you how to use them most effectively in software development. You will be introduced to the fundamental principles and value of measurements and techniques, learn what is out there and best for your practice and how to maintain ongoing monitoring, control and data-driven improvement of test processes. Learn with experienced instructors and take home your own “template” so you can directly apply these methods to improve your software development.


Duration

2 day(s)

Time

9 - 5 pm

Price

$1,500

Labs

Exercises will be used throughout the course to reinforce test metrics concepts and how they can influence project behavior.


Intended Audience

Any one involved in the Testing Lifecycle or Software Development will benefit from this innovative and practical course. This course is perfect it you are a Project Manager, IT Manager, Leader of Systems projects or teams, Business Systems Analyst, Designer or Developer.


Prerequisites

Experience in the testing field and development lifecycle.


Outline

The Value of Measurements and Quantitative Techniques

Influencing the Test Project

  • Prioritization
  • Accuracy: Resource and Time Estimation

    Influencing the Development Project

  • Root Cause Analysis
  • Defect Prevention

    Influencing Management

  • Accurate Status Reporting
  • Risk Assessment and Management

    Fundamental Principles of Measurement and Analysis

    Typical System Test Lifecycles

    Typical System Test Projects

    Product Measurements

    Test Process Measurements

    Review of Fundamental Quantitative Techniques

    Identifying and Managing Test Data

  • Prioritization
  • Categorization
  • Collection

    Selecting and Applying Statistical Techniques Averages

  • Variances
  • Six-Sigma
  • X Run Chart
  • X Control Chart
  • X Moving R Chart
  • X Bar R Chart
  • U Chart
  • C Chart
  • Z Chart
  • X Bar S Chart
  • P Chart
  • NP Chart
  • What to Use When?

    Principles for the Display of Data

  • Identify Your Audience
  • Choosing a High Impact Visual Display
  • Effectively Communicating the Message

    Sustaining a Practical Measurement Focus

    Ongoing Monitoring, Control, and Data-Driven Improvement of Test Processes