Back to Search Start Over

YesWorkflow: A User-Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts

Authors :
McPhillips, Timothy
Song, Tianhong
Kolisnik, Tyler
Aulenbach, Steve
Belhajjame, Khalid
Bocinsky, Kyle
Cao, Yang
Chirigati, Fernando
Dey, Saumen
Freire, Juliana
Huntzinger, Deborah
Jones, Christopher
Koop, David
Missier, Paolo
Schildhauer, Mark
Schwalm, Christopher
Wei, Yaxing
Cheney, James
Bieda, Mark
Ludaescher, Bertram
Publication Year :
2015

Abstract

Scientific workflow management systems offer features for composing complex computational pipelines from modular building blocks, for executing the resulting automated workflows, and for recording the provenance of data products resulting from workflow runs. Despite the advantages such features provide, many automated workflows continue to be implemented and executed outside of scientific workflow systems due to the convenience and familiarity of scripting languages (such as Perl, Python, R, and MATLAB), and to the high productivity many scientists experience when using these languages. YesWorkflow is a set of software tools that aim to provide such users of scripting languages with many of the benefits of scientific workflow systems. YesWorkflow requires neither the use of a workflow engine nor the overhead of adapting code to run effectively in such a system. Instead, YesWorkflow enables scientists to annotate existing scripts with special comments that reveal the computational modules and dataflows otherwise implicit in these scripts. YesWorkflow tools extract and analyze these comments, represent the scripts in terms of entities based on the typical scientific workflow model, and provide graphical renderings of this workflow-like view of the scripts. Future versions of YesWorkflow also will allow the prospective provenance of the data products of these scripts to be queried in ways similar to those available to users of scientific workflow systems.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1502.02403
Document Type :
Working Paper