Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

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

In English

Författare

  • Johan Natt och Dag
  • Björn Regnell
  • P Carlshamre
  • M Andersson
  • J Karlsson

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.

Publiceringsår

2002

Språk

Engelska

Sidor

20-33

Publikation/Tidskrift/Serie

Requirements Engineering

Volym

7

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

Springer

Ämne

  • Computer Science

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 0947-3602