A Timeline Optimization Approach of Green Requirement Engineering Framework for Efficient Categorized Natural Language Documents in Non-Functional Requirements

2. Literature Review

Ghazarian et al. (2011) described about the requirements specification framework for pattern-orientation of the software. They overcome the challenges behind the pattern-orientation by using Problem Decomposition Scheme (PDS), establish and decompose the theoretic classification problem by classification scheme. Finally their proposed system PDS-based requirements specification framework is shown to achieve a high degree of requirements pattern recognition consistency across developers.

John.S and Laurie.W have dealt with Automated Extraction of NFRs from the unconstrained natural language documents by using automated natural language processing. Their proposed system categorizes NFRs as in 14 main categories for identify and classify NFR statements as effective manner by NFR locator. This locator used to natural language parsing and classifies sentences by using k nearest neighbour classifier with the support vector machine algorithm (applied twice) (Mahalakshmi & Prabhakar, 2015) (Mahalakshmi et al., 2014a). These proposed systems are outperforming the best result F measure of 0.54 and the optimal naïve Bayes classifier F-measure of 0.32.