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Model Mining
Evaluating a Lightweight Defect Localization Tool.

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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Valentin Dallmeier, Christian Lindig, Andreas Zeller: Evaluating a Lightweight Defect Localization Tool. PLDI Workshop on the Evaluation of Software Defect Detection Tools, 99--103, Chicago, June 2005. Proceedings only distributed at workshop. [PDF]

AMPLE locates likely failure-causing classes by comparing method call sequences of passin g and failing runs. A difference in method call sequences, such as multiple deal location of the same resource, is likely to point to the erroneous class. In this paper, we describe the implementation of AMPLE as well as its evaluation.

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