Predicting metamorphic relations for testing scientific software: A machine learning approach using graph kernels

Upulee Kanewala, James M. Bieman, Asa Ben-Hur

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)245-269
Number of pages25
JournalSoftware Testing Verification and Reliability
Volume26
Issue number3
DOIs
StatePublished - May 1 2016
Externally publishedYes

ASJC Scopus Subject Areas

  • Software
  • Safety, Risk, Reliability and Quality

Keywords

  • graph kernels
  • metamorphic relations
  • metamorphic testing
  • support vector machines

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