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

  

Model Mining
Mining Object Usage Models

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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Detecting Object Usage Anomalies

Andrzej Wasylkowski, Andreas Zeller, Christian Lindig: Detecting Object Usage Anomalies. 6th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2007), Cavtat near Dubrovnik, Croatia, September 2007. [DOI]

Interacting with objects often requires following a protocol—for instance, a specific sequence of method calls. These protocol s are not always documented, and violations can lead to subtle problems. Our approach takes code examples to automatically infer legal sequences of method calls. The resulting patterns can then be used to detect anomalies such as “Before calling next(), one normally calls hasNext()”. To our knowledge, this is the first fully automatic defect detection approach that learns and checks method call sequences. Our JADET prototype has detected yet undiscovered defects and code smells in five popular open-source programs, including two new defects in AspectJ.

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<webmaster@st.cs.uni-saarland.de> · http://www.st.cs.uni-saarland.de/models/papers/esec-fse-07.php · Stand: 2018-04-05 13:41