Speeding up requirements management in a product software company: linking customer wishes to product requirements through linguistic engineering
Natt och Dag, Johan LU ; Gervasi, V ; Brinkkemper, S and Regnell, Björn LU
(2004)
Proceedings. 12th IEEE International Requirements Engineering Conference
p.283-294
- Abstract
- Developing large complex software products aimed for a broad market involves a great flow of wishes and requirements. The former are elicited from customers while the latter are brought forth by the developing organization. These are preferably kept separated to preserve the different perspectives. The interrelationships should however be identified and maintained to enable well-founded decisions. Unfortunately, the current manual linkage is cumbersome, time-consuming, and error-prone. This paper presents a pragmatic linguistic engineering approach to how statistical natural language processing may be used to support the manual linkage between customer wishes and product requirements by suggesting potential links. An evaluation with real... (More)
- Developing large complex software products aimed for a broad market involves a great flow of wishes and requirements. The former are elicited from customers while the latter are brought forth by the developing organization. These are preferably kept separated to preserve the different perspectives. The interrelationships should however be identified and maintained to enable well-founded decisions. Unfortunately, the current manual linkage is cumbersome, time-consuming, and error-prone. This paper presents a pragmatic linguistic engineering approach to how statistical natural language processing may be used to support the manual linkage between customer wishes and product requirements by suggesting potential links. An evaluation with real requirements from industry is presented. It shows that in a realistic setting, automatic support could make linkage faster for at least 50% of the links. An estimation based on our evaluation also shows that considerable time savings are possible. The results, together with the identified enhancement, are promising for improving software quality and saving time in industrial requirements engineering (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/613922
- author
- Natt och Dag, Johan
LU
; Gervasi, V
; Brinkkemper, S
and Regnell, Björn
LU
- organization
- publishing date
- 2004
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- statistical natural language processing, software product development, software quality, industrial requirements engineering, linguistic engineering, product requirements, product software company, requirements management
- host publication
- Proceedings. 12th IEEE International Requirements Engineering Conference
- pages
- 283 - 294
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- Proceedings. 12th IEEE International Requirements Engineering Conference
- conference location
- Kyoto, Japan
- conference dates
- 2004-09-06 - 2004-09-11
- external identifiers
-
- wos:000224556900028
- scopus:17044409177
- ISBN
- 0-7695-2174-6
- DOI
- 10.1109/ICRE.2004.1335685
- language
- English
- LU publication?
- yes
- id
- ed781f41-d8a9-4090-ac3c-4cb7a023a423 (old id 613922)
- date added to LUP
- 2016-04-04 11:56:01
- date last changed
- 2022-03-16 00:03:19
@inproceedings{ed781f41-d8a9-4090-ac3c-4cb7a023a423,
abstract = {{Developing large complex software products aimed for a broad market involves a great flow of wishes and requirements. The former are elicited from customers while the latter are brought forth by the developing organization. These are preferably kept separated to preserve the different perspectives. The interrelationships should however be identified and maintained to enable well-founded decisions. Unfortunately, the current manual linkage is cumbersome, time-consuming, and error-prone. This paper presents a pragmatic linguistic engineering approach to how statistical natural language processing may be used to support the manual linkage between customer wishes and product requirements by suggesting potential links. An evaluation with real requirements from industry is presented. It shows that in a realistic setting, automatic support could make linkage faster for at least 50% of the links. An estimation based on our evaluation also shows that considerable time savings are possible. The results, together with the identified enhancement, are promising for improving software quality and saving time in industrial requirements engineering}},
author = {{Natt och Dag, Johan and Gervasi, V and Brinkkemper, S and Regnell, Björn}},
booktitle = {{Proceedings. 12th IEEE International Requirements Engineering Conference}},
isbn = {{0-7695-2174-6}},
keywords = {{statistical natural language processing; software product development; software quality; industrial requirements engineering; linguistic engineering; product requirements; product software company; requirements management}},
language = {{eng}},
pages = {{283--294}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Speeding up requirements management in a product software company: linking customer wishes to product requirements through linguistic engineering}},
url = {{https://lup.lub.lu.se/search/files/5888678/4611165.pdf}},
doi = {{10.1109/ICRE.2004.1335685}},
year = {{2004}},
}