Make the most of your time: How should the analyst work with automated traceability tools?

Alex Dekhtyar, Jane Huffman Hayes, Jody Larsen

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

23 Scopus citations

Abstract

Several recent studies employed traditional information retrieval (IR) methods to assist in the mapping of elements of software engineering artifacts to each other. This activity is referred to as candidate link generation because the final say in determining the final mapping belongs to the human analyst. Feedback techniques that utilize information from the analyst (on whether the candidate links are correct or not) have been shown to improve the quality of the mappings. Yet the analyst is making an investment of time in providing the feedback. This leads to the question of whether or not guidance can be provided to the analyst on how to best utilize that time. This paper simulates a number of approaches an analyst might take to evaluating the same candidate link list, and discovers that more structured and organized approaches appear to save time/effort of the analyst.

Original languageEnglish
Title of host publicationProceedings - ICSE 2007 Workshops
Subtitle of host publicationThird International Workshop on Predictor Models in Software Engineering, PROMISE'07
DOIs
StatePublished - 2007
EventICSE 2007 Workshops: Third International Workshop on Predictor Models in Software Engineering, PROMISE'07 - Minneapolis, MN, United States
Duration: May 20 2007May 26 2007

Publication series

NameProceedings - ICSE 2007 Workshops: Third International Workshop on Predictor Models in Software Engineering, PROMISE'07

Conference

ConferenceICSE 2007 Workshops: Third International Workshop on Predictor Models in Software Engineering, PROMISE'07
Country/TerritoryUnited States
CityMinneapolis, MN
Period5/20/075/26/07

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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