When a component in a large system fails, developers encounter
two problems: (1) reproducing the failure, and (2) investigating the
causes of such a failure. Our JINSI tool lets developers capture and
replay the interactions between a component and its environment,
thus allowing for reproducing the failure at will. In addition, JINSI
uses delta debugging to automatically isolate the subset of the in-
teractions that is relevant for the failure. In a first study, JINSI has
successfully isolated the relevant interaction of a JAVA component:
“Out of the 32 interactions with the VendingMachine compo-
nent, seven interactions suffice to produce the failure.”
Beschreibung
Isolating Relevant Component Interactions with JINSI - Publications - Software Engineering Chair (Prof. Zeller)
%0 Conference Paper
%1 orso-woda-2006
%A Orso, Alessandro
%A Joshi, Shrinivas
%A Burger, Martin
%A Zeller, Andreas
%D 2006
%K DA askigor flipbook jinsi
%T Isolating Relevant Component Interactions with JINSI
%U http://www.st.cs.uni-sb.de/publications/files/orso-woda-2006.pdf
%X When a component in a large system fails, developers encounter
two problems: (1) reproducing the failure, and (2) investigating the
causes of such a failure. Our JINSI tool lets developers capture and
replay the interactions between a component and its environment,
thus allowing for reproducing the failure at will. In addition, JINSI
uses delta debugging to automatically isolate the subset of the in-
teractions that is relevant for the failure. In a first study, JINSI has
successfully isolated the relevant interaction of a JAVA component:
“Out of the 32 interactions with the VendingMachine compo-
nent, seven interactions suffice to produce the failure.”
@inproceedings{orso-woda-2006,
abstract = {When a component in a large system fails, developers encounter
two problems: (1) reproducing the failure, and (2) investigating the
causes of such a failure. Our JINSI tool lets developers capture and
replay the interactions between a component and its environment,
thus allowing for reproducing the failure at will. In addition, JINSI
uses delta debugging to automatically isolate the subset of the in-
teractions that is relevant for the failure. In a first study, JINSI has
successfully isolated the relevant interaction of a JAVA component:
“Out of the 32 interactions with the VendingMachine compo-
nent, seven interactions suffice to produce the failure.”},
added-at = {2008-03-29T22:34:06.000+0100},
author = {Orso, Alessandro and Joshi, Shrinivas and Burger, Martin and Zeller, Andreas},
biburl = {https://www.bibsonomy.org/bibtex/2bdbf421e39ddf09a6534c2fa93ca3fa6/butonic},
description = {Isolating Relevant Component Interactions with JINSI - Publications - Software Engineering Chair (Prof. Zeller)},
interhash = {8ec2d5f3db33ff6e211124fd8f4ad997},
intrahash = {bdbf421e39ddf09a6534c2fa93ca3fa6},
keywords = {DA askigor flipbook jinsi},
location = {Shanghai, China},
month = {February},
timestamp = {2008-03-29T22:34:07.000+0100},
title = {{Isolating Relevant Component Interactions with JINSI}},
url = {http://www.st.cs.uni-sb.de/publications/files/orso-woda-2006.pdf},
year = 2006
}