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Metamorphic Testing: A Review of Challenges and Opportunities

Journal Article


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Abstract


  • Metamorphic testing is an approach to both test case generation and test result verification. A central element is a set of metamorphic relations, which are necessary properties of the target function or algorithm in relation to multiple inputs and their expected outputs. Since its first publication, we have witnessed a rapidly increasing body of work examining metamorphic testing from various perspectives, including metamorphic relation identification, test case generation, integration with other software engineering techniques, and the validation and evaluation of software systems. In this article, we review the current research of metamorphic testing and discuss the challenges yet to be addressed. We also present visions for further improvement of metamorphic testing and highlight opportunities for new research.

Authors


  •   Chen, Tsong Yueh (external author)
  •   Kuo, Diana (external author)
  •   Liu, Huai (external author)
  •   Poon, Pak-Lok (external author)
  •   Towey, Dave (external author)
  •   Tse, T H. (external author)
  •   Zhi Quan (George) Zhou

Publication Date


  • 2018

Citation


  • Chen, T. Yueh., Kuo, F., Liu, H., Poon, P., Towey, D., Tse, T. H. & Zhou, Z. Quan. (2018). Metamorphic Testing: A Review of Challenges and Opportunities. ACM Computing Surveys, 51 (1), 4:1-4:27.

Scopus Eid


  • 2-s2.0-85040704777

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1977&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/975

Start Page


  • 4:1

End Page


  • 4:27

Volume


  • 51

Issue


  • 1

Place Of Publication


  • United States

Abstract


  • Metamorphic testing is an approach to both test case generation and test result verification. A central element is a set of metamorphic relations, which are necessary properties of the target function or algorithm in relation to multiple inputs and their expected outputs. Since its first publication, we have witnessed a rapidly increasing body of work examining metamorphic testing from various perspectives, including metamorphic relation identification, test case generation, integration with other software engineering techniques, and the validation and evaluation of software systems. In this article, we review the current research of metamorphic testing and discuss the challenges yet to be addressed. We also present visions for further improvement of metamorphic testing and highlight opportunities for new research.

Authors


  •   Chen, Tsong Yueh (external author)
  •   Kuo, Diana (external author)
  •   Liu, Huai (external author)
  •   Poon, Pak-Lok (external author)
  •   Towey, Dave (external author)
  •   Tse, T H. (external author)
  •   Zhi Quan (George) Zhou

Publication Date


  • 2018

Citation


  • Chen, T. Yueh., Kuo, F., Liu, H., Poon, P., Towey, D., Tse, T. H. & Zhou, Z. Quan. (2018). Metamorphic Testing: A Review of Challenges and Opportunities. ACM Computing Surveys, 51 (1), 4:1-4:27.

Scopus Eid


  • 2-s2.0-85040704777

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1977&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/975

Start Page


  • 4:1

End Page


  • 4:27

Volume


  • 51

Issue


  • 1

Place Of Publication


  • United States