This document discusses open issues with software quality models and metrics. It outlines that while quality models and metrics are used to measure software quality, there are still missing facts and inconsistencies. Specifically, it notes issues with human estimation of quality being subjective, a lack of standard metrics, and quality characteristics not being equally impactful. Possible solutions include categorizing assessors, evaluating runtime values, using coefficients, and extending quality models.