Title :
Decisively: Application of Quantitative Analysis and Decision Science in Agile Requirements Engineering
Author :
Saxena, S.K. ; Chakraborty, Rupak
Author_Institution :
GrayPE Syst. (P) Ltd., Noida, India
Abstract :
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.
Keywords :
analytic hierarchy process; formal specification; software prototyping; software tools; Agile RE tool; Agile requirements engineering; Decisively; Lorenz function; analytical hierarchical process; automation; box plot analysis; quantitative analysis and decision science techniques; requirement analysis; requirement discovery; requirement estimation; requirement prioritization; text mining; user story shortlisting; velocity prediction; vote distribution analysis; Context; Decision making; Educational institutions; Estimation; Real-time systems; Statistical analysis; Text mining; AHP; Agile; Box Plot; Quantitative Analysis & Decision Science; Requirements Prioritization; SPAN; Story Points Estimation; Text Mining; Velocity Prediction;
Conference_Titel :
Requirements Engineering Conference (RE), 2014 IEEE 22nd International
Conference_Location :
Karlskrona
Print_ISBN :
978-1-4799-3031-9
DOI :
10.1109/RE.2014.6912278
