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Workflow is a well-established means by which to capture scientific methods in an abstract graph of interrelated processing tasks. The reproducibility of scientific workflows is therefore fundamental to reproducible e-Science. However, the ability to record all the required details so as to make a workflow fully reproducible is a long-standing problem that is very difficult to solve. In this paper, we introduce an approach that integrates system description, source control, container managementdoi:10.1109/escience.2016.7870888 dblp:conf/eScience/QashaCW16 fatcat:mtz4skna25eqlccwkrsthoqn2a