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

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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.
Original languageEnglish
Title of host publication[Host publication title missing]
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)978-1-61284-259-2
Publication statusPublished - 2011
Event15th European Conference on Software Maintenance and Reengineering (CSMR) - Oldenburg, Germany
Duration: 2011 Mar 12011 Mar 4

Publication series

ISSN (Print)1534-5351
ISSN (Electronic)1944-2793


Conference15th European Conference on Software Maintenance and Reengineering (CSMR)

Subject classification (UKÄ)

  • Computer Science


  • information retrieval
  • requirements-test alignment
  • traceability
  • empirical software engineering


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