- Understand the test team’s and tester’s role in software estimation and measurement
- Develop the right measures for your project and organization
- Create a custom Test Metrics Dashboard
- Learn how to estimate in the face of uncertainty
- Avoid dysfunctional metrics for sustainable measurement programs
In many ways, the most important value of testing is providing timely and accurate information to project stakeholders. As a by-product of testing efforts, test managers—and lead testers—need to continually measure and report the status and quality of the product under development. They also need to measure test effectiveness as a guide for improvement. Test managers make and revise test effort estimates and help determine when to stop testing and release the product. These are all example of test metrics. Because a key component of testing is to measure the quality of the software product, test managers and testers also collect data and report metrics related to the entire software development activity.
Almost anyone who has ever attempted to develop an estimate about software realizes just how difficult the task can be. The number of factors that can affect the estimate is virtually without limit. The key to good estimates is to understand the main variables, compare them to known standards, and normalize the estimates based upon their differences. This is easy to say but difficult to accomplish because estimates are frequently required when very little is known about the project and what is known is constantly changing. Throw in a healthy dose of politics and a bit of wishful thinking and estimation can become a nightmare for software practitioners—and testers.
This course provides a background in estimation for anyone who must estimate software development or testing efforts (and that should cover almost everyone!). Analysts, developers, leads, test managers, testers, and QA personnel can all benefit from this course.
