SPChecker - SPChecker
Date of the last release: 04 February 2013
Person in charge :
COHEN-BOULAKIA Sarah
Scientific workflow systems are numerous and equipped of provenance modules able to collect data produced and consumed during workflow runs to enhance reproducibility. An increasing number of approaches have been developed to help managing provenance information. Some of them are able to process data in a polynomial time but they require workflows to have series-parallel (SP) structures.
SPChecker is able to detect whether or not any Taverna workflow has a series-parallel structure.
More information: http://www.lri.fr/~chenj/SPChecker/
Software
Research activities
Bioinformatics Graph algorithms
Members
FROIDEVAUX Christine COHEN-BOULAKIA Sarah CHEN Jiuqiang
Group
