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

Natt och Dag, Johan LU ; Regnell, Björn LU orcid ; Carlshamre, P ; Andersson, M and Karlsson, J (2002) In Requirements Engineering 7(1). p.20-33
Abstract
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

... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Requirements Engineering
volume
7
issue
1
pages
20 - 33
publisher
Springer
external identifiers
  • scopus:11144235310
ISSN
0947-3602
DOI
10.1007/s007660200002
language
English
LU publication?
yes
id
09608d55-8d00-40a2-ae1e-5eba051902f3 (old id 105806)
date added to LUP
2016-04-01 17:10:26
date last changed
2022-01-29 00:50:08
@article{09608d55-8d00-40a2-ae1e-5eba051902f3,
  abstract     = {{In market-driven software development there is a strong<br/><br>
need for support to handle congestion in the requirements<br/><br>
engineering process, which may occur as the<br/><br>
demand for short time-to-market is combined with a<br/><br>
rapid arrival of new requirements from many different<br/><br>
sources. Automated analysis of the continuous flow of<br/><br>
incoming requirements provides an opportunity to<br/><br>
increase the efficiency of the requirements engineering<br/><br>
process. This paper presents empirical evaluations of the<br/><br>
benefit of automated similarity analysis of textual<br/><br>
requirements, where existing information retrieval<br/><br>
techniques are used to statistically measure requirements<br/><br>
similarity. The results show that automated<br/><br>
analysis of similarity among textual requirements is a<br/><br>
promising technique that may provide effective support<br/><br>
in identifying relationships between requirements.}},
  author       = {{Natt och Dag, Johan and Regnell, Björn and Carlshamre, P and Andersson, M and Karlsson, J}},
  issn         = {{0947-3602}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{20--33}},
  publisher    = {{Springer}},
  series       = {{Requirements Engineering}},
  title        = {{A Feasibility Study of Automated Support for Similarity Analysis of Natural Language Requirements in Market-Driven Development}},
  url          = {{https://lup.lub.lu.se/search/files/4897264/623543.pdf}},
  doi          = {{10.1007/s007660200002}},
  volume       = {{7}},
  year         = {{2002}},
}