"Predicting metamorphic relations for testing scientific software: a ..."

Upulee Kanewala, James M. Bieman, Asa Ben-Hur (2016)

> Home

Details and statistics

DOI: 10.1002/STVR.1594

access: closed

type: Journal Article

metadata version: 2020-04-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/stvr/KanewalaBB16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/stvr/KanewalaBB16
Upulee Kanewala, James M. Bieman, Asa Ben-Hur:
Predicting metamorphic relations for testing scientific software: a machine learning approach using graph kernels. Softw. Test. Verification Reliab. 26(3): 245-269 (2016)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.