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Differential testing: a new approach to change detection
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Foundations of Software Engineering archive
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering table of contents
Dubrovnik, Croatia
POSTER SESSION: ESEC/FSE'07 posters table of contents
Pages: 549 - 552  
Year of Publication: 2007
ISBN:978-1-59593-811-4
Authors
Robert B. Evans  Agitar Laboratories, Mountain View, CA
Alberto Savoia  Agitar Software, Mountain View, CA
Sponsors
ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

Regression testing, as it's commonly practiced, is unsound due to inconsistent test repair and test addition. This paper presents a new technique, differential testing, that alleviates the test repair problem and detects more changes than regression testing alone. Differential testing works by creating test suites for both the original system and the modified system and contrasting both versions of the system with these two suites.

Differential testing is made possible by recent advances in automated unit test generation. Furthermore, it makes automated test generators more useful because it abstracts away the interpretation and management of large volumes of tests by focusing on the changes between test suites.

In our preliminary empirical study of 3 subjects, differential testing discovered 21%, 34%, and 21% more behavior changes than regression testing alone.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Acree, A. T., Budd, T. A., DeMillo, R. A., Lipton, R. J., and Sayward, F. G., Mutation analysis, School of Inform. and Comput. Sci., Georgia Instit. Technol., Atlanta, Tech. Rep. GIT-ICS-79/08, Sept. 1979.
 
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Agitar website. http://www.agitar.com/.
 
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Gamma, E., Beck, K., Junit, http://www.junit.org/.
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Junit Factory website. http://www.JunitFactory.com/
 
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Collaborative Colleagues:
Robert B. Evans: colleagues
Alberto Savoia: colleagues