Application Coverage Is the Quality Metric You Need
Many quality teams measure success based on the number of scripts written and deployed, that is Test Coverage. These have been practical metrics given the time constraints for manual testing and for creating and maintaining test automation. But now that AI is providing the opportunity for teams to achieve massively greater efficiency through autonomous testing, these measures fall short. Application Coverage is a more complete measure of the effectiveness of your testing program yielding more issues more quickly.
Learning Objectives:
- How Application Coverage is defined and measured
- How Application Coverage compares to Test Coverage
- What are the implications of achieving high levels of Application Coverage in your quality program
Kevin Parker
Kevin Parker is the Vice President of Product at Appvance.ai. He is a 30-year industry veteran and the holder of four technology patents.
He specializes in the Digital Transformation of Business Systems through DevOps, Agile, Shift Left, software development, software testing, software release management, digital transformation, micro-services architectures, and web-services architectures.
In addition to Kevin working with Appvance customers to ensure their success, he has been crossing the globe working closely with analysts, the press, customers, partners, and employees to exchange ideas about industry direction and business issues.