1. A computer-implemented method for generating a security analysis effort, cost and process scope estimates within a security intelligence environment, the security intelligence environment comprising a plurality of data sources and a security intelligence platform, the security intelligence platform comprising a security analysis estimation module, the security analysis estimation module executing on a hardware processor of a computer system, comprising: analyzing a software system via the security analysis estimation module of the security intelligence platform, the analyzing the software system utilizing information received from at least one of the plurality of data sources; identifying a complexity level of a security analysis via the security analysis estimation module of the security intelligence platform, the complexity level of the security analysis comprising identification of an effort level for the security analysis, the identifying comprising performing a security analysis estimation operation, the security analysis estimation operation comprising a dynamic analysis performed via a dynamic analysis scanning subsystem and a static analysis performed via a static analysis tool; and, generating the security analysis effort estimate via the security analysis estimation module of the security intelligence platform, the security analysis effort estimate comprising an estimate of an effort expenditure to perform a security analysis on the software system at the identified complexity level, the security analysis estimation module providing a quantitative machine learning based analytics driven determination, the quantitative machine learning based analytics driven determination providing an estimation of parameters and correlation of coefficients which can drive price and cost factors for the software security vulnerabilities identification operation.
2. The method of claim 1 , wherein: the security analysis comprises a software security vulnerabilities identification operation.