With the association of software security assurance in the development of code based systems; software developers are
relying on the Vulnerability discovery models to mitigate the breaches by estimating the total number of vulnerabilities,
before they’re exploited by the intruders. Vulnerability Discovery Models (VDMs) provide the quantitative
classification of the flaws that exists in a software that will be discovered after a software is released. In this paper, we
develop a vulnerability discovery model that accumulate the vulnerabilities due to the influence of previously
discovered vulnerabilities. We further evaluate the proportion of previously discovered vulnerabilities along with the
fraction additional vulnerabilities detected. The quantification methodology presented in this article has been
accompanied with an empirical illustration on popular operating systems’ vulnerability data.