A Feasibility Study of Automated Support for Similarity Analysis of Natural Language Requirements in Market-Driven Development

Summary, in English

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.

• Author: Johan Natt och Dag; Björn Regnell; P Carlshamre; M Andersson; J Karlsson
• Department/s: Departments at LTH; Department of Computer Science; Software Engineering Research Group
• Publishing year: 2002
• Language: English
• Pages: 20-33
• Publication/Series: Requirements Engineering
• Volume: 7
• Issue: 1
• Full text: - 395 kB; Download statistics
• Links: http://dx.doi.org/10.1007/s007660200002
• Document type: Journal article
• Publisher: Springer
• Topic: Computer Science
• Status: Published
• ISBN/ISSN/Other: ISSN: 0947-3602