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

  

Model Mining
Lightweight Defect Localization for Java

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
  

Valentin Dallmeier, Christian Lindig, Andreas Zeller: Lightweight Defect Localization for Java. Proceedings of 19th European Conference on Object-Oriented Programming, ECOOP 2005, Andrew P. Black (Ed.), pages 528--550, Lecture Notes in Computer Science 3586, Springer, Glasgow, UK, July 2005.[PDF]

A common method to localize defects is to compare the coverage of p assing and failing program runs: A method executed only in failing runs, for ins tance, is likely to point to the defect. Some failures, though, come to be only through a specific sequence of method calls, such as multiple deallocation of th e same resource. Such sequences can be collected from arbitrary Java programs at low cost; comparing object-specific sequences predicts defects better than simp ly comparing coverage. In a controlled experiment, our technique pinpointed the defective class in 39% of all test runs.

Impressum Datenschutzerklärung

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