Multi-user input in determining answer sets (MIDAS)

Albert Kalim, Jane Huffman Hayes, Satrio Husodo, Erin Combs, Jared Payne

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

2 Scopus citations

Abstract

Empirical validation is an important component of sound requirements engineering research. Many researchers develop a gold standard or answer set against which to compare techniques that they also developed in order to calculate common measures such as recall and precision. This poses threats to validity as the researchers developed the gold standard and the technique to be measured against it. To help address this and to help reduce bias, we introduce a prototype of Multi-user Input in Determining Answer Sets (MIDAS), a web-based tool to permit communities of researchers to jointly determine the gold standard for a given research data set. To date, the tool permits community members to add items to the answer set, vote on items in the answer set, comment on items, and view the latest status of community opinion on answer set items. It currently supports traceability data sets and classification data sets.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 26th International Requirements Engineering Conference, RE 2018
EditorsDaniel Amyot, Walid Maalej, Guenther Ruhe
Pages496-497
Number of pages2
ISBN (Electronic)9781538674185
DOIs
StatePublished - Oct 12 2018
Event26th IEEE International Requirements Engineering Conference, RE 2018 - Banff, Canada
Duration: Aug 20 2018Aug 24 2018

Publication series

NameProceedings - 2018 IEEE 26th International Requirements Engineering Conference, RE 2018

Conference

Conference26th IEEE International Requirements Engineering Conference, RE 2018
Country/TerritoryCanada
CityBanff
Period8/20/188/24/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Answer set
  • Data set
  • Evaluation
  • Gold standard

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Safety, Risk, Reliability and Quality

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