Quality metrics technology is a disciplined approach used to evaluate, predict, and specify the software quality in terms of software integrity. The obtained metrics interprets the criteria influencing the implementation of software integrity. The primary goal of software integrity regarding security is ensuring the commendable and basic data around the organizations and makes it effectively achievable. In this study, we proposed two methods for finding the integrity bugs in software implementation. The first methods involve determining and consolidating the criteria of evaluation while in the second method we employed Chidamber and Kemerer Java Metrics (CKJM) to compute the software quality metrics. Furthermore, three open-source Java frameworks are utilized to analyze the effect of quality metrics on the implementation of software integrity. The proposed framework enabled to examine the most extensively employed metrics to test software integrity i.e the number of children, the coupling between objects, and response for class respectively. The empirical results suggested that the metrics calculated by the proposed framework have a significant effect on software integrity. The benefits of the proposed system to the absolute use of measurements at steady appearances of software products help in the early identification of software quality-related issues. Specific appraisal of quality levels gives better administration permeability and empowers auspicious dynamics.