Working session: Information retrieval based approaches in software evolution

Andrian Marcus, Andrea De Lucia, Jane Huffman Hayes, Denys Poshyvanyk

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

During software evolution a collection of related artifacts with different representations are created. Some of these are composed of structured data (e.g., analysis data), some contain semi-structured information (e.g., source code), and many include unstructured information (e.g., text). Research efforts exist that are trying to extract, represent, and analyze the unstructured information in software. Information retrieval (IR) techniques are used quite successfully in the past years to represent and extract textual information from software artifacts, with application to many maintenance tasks. This working session will focus on the state on the art in the application of IR-based techniques to support software maintenance activities. The session aims to identify the main research and practical issues in the field, to determine future work directions, and to foster collaborations among the participants.

Original languageEnglish
Title of host publicationICSM 2006 Proceedings - 22nd IEEE International Conference on Software Maintenance
Pages197-199
Number of pages3
DOIs
StatePublished - 2006
EventICSM 2006: 22nd IEEE International Conference on Software Maintenance - Philadelphia, PA, United States
Duration: Sep 24 2006Sep 27 2006

Publication series

NameIEEE International Conference on Software Maintenance, ICSM

Conference

ConferenceICSM 2006: 22nd IEEE International Conference on Software Maintenance
Country/TerritoryUnited States
CityPhiladelphia, PA
Period9/24/069/27/06

ASJC Scopus subject areas

  • Software

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