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