Decisively: Application of Quantitative Analysis and Decision Science in Agile Requirements Engineering
Sanjaya Kumar Saxena, Rachna Chakraborty · 2014
While many mature Requirements Engineering (RE) tools for Agile exist, RE professionals at large have not been able to benefit from Quantitative Analysis and Decision Science (QUADS) techniques in this context. In this paper we present an Agile RE tool, Decisively, which brings a new perspective to automation in the RE process through application of QUADS to address Requirement Discovery, Analysis, Estimation and Prioritization. Techniques explored in Decisively include Analytical Hierarchical Process (AHP) for prioritization and estimation, Lorenz function to shortlist user stories by analyzing the distribution of votes, Box Plot Analysis to predict velocity, and Text Mining to discover implied requirements from documents.