Using machine learning techniques to detect metamorphic relations for programs without test oracles

Upulee Kanewala; James M. Bieman

doi:10.1109/ISSRE.2013.6698899

Using machine learning techniques to detect metamorphic relations for programs without test oracles

Colorado State University

Research output: Chapter or Contribution to Book › Literary contribution

Original language	English
Title of host publication	2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013
Pages	1-10
Number of pages	10
DOIs	https://doi.org/10.1109/ISSRE.2013.6698899
State	Published - 2013
Externally published	Yes
Event	2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013 - Pasadena, CA, United States Duration: Nov 4 2013 → Nov 7 2013

Publication series

Name	2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013

Conference

Conference	2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013
Country/Territory	United States
City	Pasadena, CA
Period	11/4/13 → 11/7/13

ASJC Scopus Subject Areas

Software

Keywords

Decision trees
Machine learning
Metamorphic relation
Metamorphic testing
Mutation analysis
Scientific software testing
Software testing
Support vector machines
Test oracles

Access to Document

10.1109/ISSRE.2013.6698899

Cite this

Kanewala, U., & Bieman, J. M. (2013). Using machine learning techniques to detect metamorphic relations for programs without test oracles. In 2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013 (pp. 1-10). Article 6698899 (2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013). https://doi.org/10.1109/ISSRE.2013.6698899

Using machine learning techniques to detect metamorphic relations for programs without test oracles. / Kanewala, Upulee; Bieman, James M.
2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013. 2013. p. 1-10 6698899 (2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013).

Research output: Chapter or Contribution to Book › Literary contribution

Kanewala, U & Bieman, JM 2013, Using machine learning techniques to detect metamorphic relations for programs without test oracles. in 2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013., 6698899, 2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013, pp. 1-10, 2013 IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013, Pasadena, CA, United States, 11/4/13. https://doi.org/10.1109/ISSRE.2013.6698899

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Using machine learning techniques to detect metamorphic relations for programs without test oracles

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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