A Feasibility Study of Automated Support for Similarity Analysis of Natural Language Requirements in Market-Driven Development
(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:
https://lup.lub.lu.se/record/105806
- author
- Natt och Dag, Johan
LU
; Regnell, Björn
LU
; Carlshamre, P ; Andersson, M and Karlsson, J
- organization
- publishing date
- 2002
- 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}}, }