Be the first to like this
How do you properly compare the quality of two or more software deliverables without an effective normalizing metric? The answer is you can’t. If project A has 100 defects and project B has 50 defects, do you automatically assume project B is a higher quality deliverable? That may not be the case. But, often times, that is the perception of the end user. An effective normalizing metric allows you to properly measure and compare the level of quality across software deliverables. It can also be used to manage end user expectations regarding the quality of the software in relation to the functional value being delivered. Furthermore, the normalizing metric can be used to predict future quality outcomes and can be used to establish service levels of quality performance. Learn how you can quickly and easily incorporate this all-important metric into your quality program.