In vivo evaluation of large-scale IR-based traceability recovery
(2011) 15th European Conference on Software Maintenance and Reengineering (CSMR) p.365-368- Abstract
- Modern large-scale software development is a
complex undertaking and coordinating various processes is crucial
to achieve efficiency. The alignment between requirements
and test activities is one important aspect. Production and
maintenance of software result in an ever-increasing amount
of information. To be able to work efficiently under such
circumstances, navigation in all available data needs support.
Maintaining traceability links between software artifacts is one
approach to structure the information space and support this
challenge. Many researchers have proposed traceability recovery
by applying information retrieval (IR) methods,... (More) - Modern large-scale software development is a
complex undertaking and coordinating various processes is crucial
to achieve efficiency. The alignment between requirements
and test activities is one important aspect. Production and
maintenance of software result in an ever-increasing amount
of information. To be able to work efficiently under such
circumstances, navigation in all available data needs support.
Maintaining traceability links between software artifacts is one
approach to structure the information space and support this
challenge. Many researchers have proposed traceability recovery
by applying information retrieval (IR) methods, utilizing
the fact that artifacts often have textual content in natural
language. Case studies have shown promising results, but no
large-scale in vivo evaluations have been made. Currently, there
is a trend among our industrial partners to move to a specific
new software engineering tool. Their aim is to collect different
pieces of information in one system. Our ambition is to develop
an IR-based traceability recovery plug-in to this tool. From this
position, right in the middle of a real industrial setting, many
interesting observations could be made. This would allow a
unique evaluation of the usefulness of the IR-based approach. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1951848
- author
- Borg, Markus LU
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- information retrieval, requirements-test alignment, traceability, empirical software engineering
- host publication
- [Host publication title missing]
- pages
- 4 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 15th European Conference on Software Maintenance and Reengineering (CSMR)
- conference location
- Oldenburg, Germany
- conference dates
- 2011-03-01 - 2011-03-04
- external identifiers
-
- wos:000299256500051
- scopus:79955162217
- ISSN
- 1944-2793
- 1534-5351
- ISBN
- 978-1-61284-259-2
- DOI
- 10.1109/CSMR.2011.54
- project
- Embedded Applications Software Engineering
- language
- English
- LU publication?
- yes
- id
- 1605f415-26c5-4a82-a505-ec418090901c (old id 1951848)
- date added to LUP
- 2016-04-01 10:34:20
- date last changed
- 2025-10-14 09:03:10
@inproceedings{1605f415-26c5-4a82-a505-ec418090901c,
abstract = {{Modern large-scale software development is a<br/><br>
complex undertaking and coordinating various processes is crucial<br/><br>
to achieve efficiency. The alignment between requirements<br/><br>
and test activities is one important aspect. Production and<br/><br>
maintenance of software result in an ever-increasing amount<br/><br>
of information. To be able to work efficiently under such<br/><br>
circumstances, navigation in all available data needs support.<br/><br>
Maintaining traceability links between software artifacts is one<br/><br>
approach to structure the information space and support this<br/><br>
challenge. Many researchers have proposed traceability recovery<br/><br>
by applying information retrieval (IR) methods, utilizing<br/><br>
the fact that artifacts often have textual content in natural<br/><br>
language. Case studies have shown promising results, but no<br/><br>
large-scale in vivo evaluations have been made. Currently, there<br/><br>
is a trend among our industrial partners to move to a specific<br/><br>
new software engineering tool. Their aim is to collect different<br/><br>
pieces of information in one system. Our ambition is to develop<br/><br>
an IR-based traceability recovery plug-in to this tool. From this<br/><br>
position, right in the middle of a real industrial setting, many<br/><br>
interesting observations could be made. This would allow a<br/><br>
unique evaluation of the usefulness of the IR-based approach.}},
author = {{Borg, Markus}},
booktitle = {{[Host publication title missing]}},
isbn = {{978-1-61284-259-2}},
issn = {{1944-2793}},
keywords = {{information retrieval; requirements-test alignment; traceability; empirical software engineering}},
language = {{eng}},
pages = {{365--368}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{In vivo evaluation of large-scale IR-based traceability recovery}},
url = {{https://lup.lub.lu.se/search/files/1953824/2862086.pdf}},
doi = {{10.1109/CSMR.2011.54}},
year = {{2011}},
}