STATISTICAL ANALYSIS OF VULNERABILITY FOR OBJECT ORIENTED SOFTWARE

Abstract

Software quality is a critical factor in reducing software vulnerability. Client difficulties are 
addressed while being dependable, which is especially important for software whose source 
code should be limited in susceptibility for rebuilding and updating for any framework. 
Rework in succeeding phases is reduced when vulnerability is minimised at the design stage. 
There is currently no effective measure, method, or approach available to mitigate 
susceptibility during the design phase. To solve this issue, we developed an approach based 
on statistical research that is capable of providing accurate predictions of security 
vulnerabilities in terms of design attributes.