Facilitating reproducible computing via scientific workflows – an integrated system approach

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dc.contributor.advisorLiang, Yao
dc.contributor.authorCao, Yuan
dc.date.accessioned2017-05-09T18:17:39Z
dc.date.available2017-05-09T18:17:39Z
dc.date.issued2017-05-04
dc.degree.date2017en_US
dc.degree.grantorPurdue Universityen_US
dc.degree.levelM.S.en_US
dc.descriptionIndiana University-Purdue University Indianapolis (IUPUI)en_US
dc.description.abstractReproducible computing and research are of great importance for scientific investigation in any discipline. This thesis presents a general approach to provenance in the context of workflows for widely used script languages. Our solution is based on system integration, and is demonstrated by integrating MATLAB with VisTrails, an open source scientific workflow system. The integrated VisTrails-MATLAB system supports reproducible computing with truly prospective and retrospective provenance at multiple granularity levels as scientists choose for their scripts, and at the same time, is very easy to use.en_US
dc.identifier.doi10.7912/C2SW8K
dc.identifier.urihttps://hdl.handle.net/1805/12484
dc.identifier.urihttp://dx.doi.org/10.7912/C2/2347
dc.subjectprovenanceen_US
dc.subjectscientific workflowen_US
dc.subjectscientific workflow management systemen_US
dc.subjectintegrationen_US
dc.titleFacilitating reproducible computing via scientific workflows – an integrated system approachen_US
dc.typeThesisen
thesis.degree.disciplineComputer & Information Scienceen
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