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In vivo evaluation of large-scale IR-based traceability recovery

Borg, Markus LU (2011) 15th European Conference on Software Maintenance and Reengineering (CSMR) In [Host publication title missing] 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:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
information retrieval, requirements-test alignment, traceability, empirical software engineering
in
[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)
external identifiers
  • wos:000299256500051
  • scopus:79955162217
ISSN
1944-2793
1534-5351
ISBN
978-1-61284-259-2
DOI
10.1109/CSMR.2011.54
project
EASE
language
English
LU publication?
yes
id
1605f415-26c5-4a82-a505-ec418090901c (old id 1951848)
date added to LUP
2011-05-12 10:38:21
date last changed
2017-10-01 03:18:23
@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},
  keyword      = {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          = {http://dx.doi.org/10.1109/CSMR.2011.54},
  year         = {2011},
}