Dies ist ein Archiv des alten Softwaretechnik Lehrstuhls der Universität des Saarlandes. Es ist nicht länger aktuell.


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

Deutschsprachige Startseite Page d'acceuil en franšais English home page

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.

Impressum Datenschutzerklärung

<webmaster@st.cs.uni-saarland.de> · http://www.st.cs.uni-saarland.de/models/papers/aadebug-05.php · Stand: 2018-04-05 13:41