Proximity-based traceability: An empirical validation using ranked retrieval and set-based measures

Wei Keat Kong, Jane Huffman Hayes

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

9 Scopus citations

Abstract

The automatic generation of traceability links attempts to reduce the burden of building requirements traceability matrices (RTMs) that will be vetted by a human analyst before use in verification and validation tasks such as criticality assessment or change impact analysis. Information Retrieval (IR) techniques, notably the Vector Space Model (VSM), have been used with some success to build textual artifact traceability matrices. A limitation of the VSM is that it disregards word or term location and the relationship between words in the textual artifacts being traced. This paper presents a VSM enhancement with consideration for term location, validating it on four datasets using ranked retrieval and set-based measures. These two types of measures provide a more detailed comparison between the two traceability techniques.

Original languageEnglish
Title of host publicationProceedings - 1st International Workshop on Empirical Requirements Engineering, EmpiRE 2011
Pages45-52
Number of pages8
DOIs
StatePublished - 2011
Event1st International Workshop on Empirical Requirements Engineering, EmpiRE 2011, Co-located with Requirements Engineering, RE 2011 - Trento, Italy
Duration: Aug 30 2011Aug 30 2011

Publication series

NameProceedings - 1st International Workshop on Empirical Requirements Engineering, EmpiRE 2011

Conference

Conference1st International Workshop on Empirical Requirements Engineering, EmpiRE 2011, Co-located with Requirements Engineering, RE 2011
Country/TerritoryItaly
CityTrento
Period8/30/118/30/11

Keywords

  • Dynamic link generation
  • Empirical validation
  • Information retrieval
  • Measures
  • Requirements tracing
  • TF-IDF
  • Term proximity
  • Verification and Validation

ASJC Scopus subject areas

  • Software

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