Tagging in Assisted Tracing

Wentao Wang, Nan Niu, Hui Liu, Yuting Wu

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

13 Citations (Scopus)

Abstract

Assisted tracing is the process where human analyst vets and makes decisions concerning the automated method's output. Current research reveals human fallibility in this process, and shows that analyst often makes incorrect decisions that lead to inaccurate final trace matrix. To help enhance analyst performance, we leverage tagging in assisted tracing. Specifically, we implement tagging as a front-end feature that allows analysts to freely mark what they feel worth externalizing during tracing. We then carry out an experiment to investigate the tagging practices of 28 student analysts in vetting requirements-to-source-code trace matrices. Our study shows that tagging is readily adopted by analysts, tags produced in tracing follow power laws, and tags greatly enhance the precision of analyst-submitted final trace matrices. Our work opens up new avenues for researching improved ways to foster analyst-tool integration.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE/ACM 8th International Symposium on Software and Systems Traceability, SST 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8-14
Number of pages7
ISBN (Electronic)9780769555935
DOIs
Publication statusPublished - 5 Aug 2015
Event8th IEEE/ACM International Symposium on Software and Systems Traceability, SST 2015 - Florence, Italy
Duration: 17 May 2015 → …

Publication series

NameProceedings - 2015 IEEE/ACM 8th International Symposium on Software and Systems Traceability, SST 2015

Conference

Conference8th IEEE/ACM International Symposium on Software and Systems Traceability, SST 2015
Country/TerritoryItaly
CityFlorence
Period17/05/15 → …

Keywords

  • analyst-tool interaction
  • assisted tracing
  • front-end of tracing tool
  • human factors
  • tagging
  • traceability

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