| Differential testing: a new approach to change detection |
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Foundations of Software Engineering
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Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
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Dubrovnik, Croatia
POSTER SESSION: ESEC/FSE'07 posters
table of contents
Pages: 549 - 552
Year of Publication: 2007
ISBN:978-1-59593-811-4
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Downloads (6 Weeks): 3, Downloads (12 Months): 41, Citation Count: 3
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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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Mary Jean Harrold , James A. Jones , Tongyu Li , Donglin Liang , Alessandro Orso , Maikel Pennings , Saurabh Sinha , S. Alexander Spoon , Ashish Gujarathi, Regression test selection for Java software, Proceedings of the 16th ACM SIGPLAN conference on Object oriented programming, systems, languages, and applications, p.312-326, October 14-18, 2001, Tampa Bay, FL, USA
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JTopas website. http://jtopas.sourceforge.net/jtopas/.
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Junit Factory website. http://www.JunitFactory.com/
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Xiaoxia Ren , Fenil Shah , Frank Tip , Barbara G. Ryder , Ophelia Chesley, Chianti: a tool for change impact analysis of java programs, Proceedings of the 19th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications, October 24-28, 2004, Vancouver, BC, Canada
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David Saff , Shay Artzi , Jeff H. Perkins , Michael D. Ernst, Automatic test factoring for java, Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering, November 07-11, 2005, Long Beach, CA, USA
[doi> 10.1145/1101908.1101927]
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CITED BY 3
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Jaeyeon Jung , Anmol Sheth , Ben Greenstein , David Wetherall , Gabriel Maganis , Tadayoshi Kohno, Privacy oracle: a system for finding application leaks with black box differential testing, Proceedings of the 15th ACM conference on Computer and communications security, October 27-31, 2008, Alexandria, Virginia, USA
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INDEX TERMS
Primary Classification:
D.
Software
D.2
SOFTWARE ENGINEERING
D.2.5
Testing and Debugging
Subjects:
Testing tools (e.g., data generators, coverage testing)
General Terms:
Algorithms,
Experimentation,
Reliability,
Theory,
Verification
Keywords:
automated test generation,
change impact analysis,
differential testing,
regression testing,
software maintenance,
test repair
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