Workflows and e-Science: An overview of workflow system features and capabilities
Future Generation Computer Systems
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Understanding IT organizations
ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part I
TPCTC'10 Proceedings of the Second TPC technology conference on Performance evaluation, measurement and characterization of complex systems
PrIMe: A methodology for developing provenance-aware applications
ACM Transactions on Software Engineering and Methodology (TOSEM)
Online workflow management and performance analysis with stampede
Proceedings of the 7th International Conference on Network and Services Management
WorMS- a framework to support workflows in M&S
Proceedings of the Winter Simulation Conference
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Current scientific applications are often structured as workflows and rely on workflow systems to compile abstract experiment designs into enactable workflows that utilize the best available resources. The automation of this step, and of the workflow enactment, hides the details about how results are produced. Knowing how compilation and enactment occurred allows results to be reconnected with the experiment design. The authors investigate how provenance helps scientists connect their results with the actual execution that took place, their original experiment, and its inputs and parameters.