Security Requirements Extraction and Classification: A Survey

Abstract

Security Requirements Engineering is a very important process in the Software Development Life Cycle (SDLC) with Security Engineering being given profound attention in the development of software. It is imperative to build security within a software product. This ensures that software that is deployed is secure and can withstand attack. The research work explores Security Requirements extraction and classification techniques and application of Machine to the process. Techniques such as Naïve Bayes Classifier, K-NN, Support Vector Machine (SVM), ANN among others have been applied to the various tasks embedded in the process. This research will pave a way to techniques that can aid in the process of Security Requirements extraction and classification.