Mining unstructured data to support requirements elicitation by using controlled vocabularies: A systematic mapping study

Abstract

This paper presents a work-in- progress that deals with the asse ssment of the use of controlled vocabularies during the process es of requirements engineering, as a m eans to mine data from differen t sources (interviews, contracts, schemas and diagrams). By doi ng this the requirements description, analy sis and comprehension is facilit ated for both developers and end users. As a research methodolo gy, we decided to use a systematic mapping study covering the last fou rteen years (2000 - 2014). As far as we know, such studies have not yet been done; however, the cost incurred from errors in the requir ements elicitation phase is one of the problems that is most co mmonly reported by the practitioners. Our study includes data on the p rocesses of building the controlled vocabulary and assesses the productivity and quality. We are also interes ted in tools and techniques to classify and retrieve information. Our first findings suggest t hat this is an under-research area.