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Model Mining
Lightweight Bug Localization with AMPLE

Lehrstuhl für Softwaretechnik (Prof. Zeller)
Universität des Saarlandes – Informatik
Informatik Campus des Saarlandes
Campus E9 1 (CISPA)
66123 Saarbrücken
E-mail: zeller @ cs.uni-saarland.de
Telefon: +49 681 302-70970

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Lightweight Bug Localization with AMPLE

Valentin Dallmeier, Christian Lindig, Andreas Zeller: Lightweight Bug Localization with AMPLE (Demo Paper). Sixth International Symposium on Automated and Analysis-Driven Debugging, Jong Deok Choi and Raimondas Lencevicius (Ed.), pages 99-103, ACM Press, Monterey, CA, USA, September 2005. [PDF]

AMPLE locates likely failure-causing classes by comparing metho d call sequences of passing and failing runs. A difference in method call sequen ces, such as multiple deallocation of the same resource, is likely to point to t he erroneous class. Such sequences can be collected from arbitrary Java programs at low cost; comparing object-specific sequences predicts defects better than s imply comparing coverage. AMPLE comes as an Eclipse plug-in that is automaticall y invoked as soon as a JUnit test fails.

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