In market-driven software development there is a strong need for support to handle congestion in the requirements engineering process, which may occur as the demand for short time-to-market is combined with a rapid arrival of new requirements from many different sources. Automated analysis of the continuous flow of incoming requirements provides an opportunity to increase the efficiency of the requirements engineering process. This paper presents empirical evaluations of the benefit of automated similarity analysis of textual requirements, where existing information retrieval techniques are used to statistically measure requirements similarity. The results show that automated analysis of similarity among textual requirements is a promising technique that may provide effective support in identifying relationships between requirements.
Dag et al. REF use an automated analysis of flow of software requirements to increase efficiency of their requirements engineering process.
A Feasibility Study of Automated Natural Language Requirements Analysis in Market-Driven Development
Requirements Engineering
Requirements Engineering
Computer Science