Editing Workflow (section)

== Features and phenomenology ==
# Modeling: Workflow problems can be modeled and analyzed using [[graph theory|graph]]-based formalisms like [[Petri net]]s.
# Measurement: Many of the concepts used to measure scheduling systems in [[operations research]] are useful for measuring general workflows. These include throughput, processing time, and other regular metrics.
# Specialized connotations: The term "workflow" has specialized connotations in information technology, [[document management]], and [[Document imaging|imaging]]. Since 1993, one trade consortium specifically focused on workflow management and the interoperability of workflow management systems, the [[Workflow Management Coalition]].<ref>{{Cite web |url=http://www.wfmc.org/index.php/about-us |title=Introduction to the Workflow Management Coalition |publisher=Workflow Management Coalition |access-date=18 January 2018}}</ref>
# [[Scientific workflow system]]s: These found wide acceptance in the fields of [[bioinformatics]] and [[cheminformatics]] in the early 2000s, when they met the need for multiple interconnected tools that handle multiple data formats and large data quantities. Also, the paradigm of scientific workflows resembles the well-established practice of [[Perl]] programming in life science research organizations, making this adoption a natural step towards more structured infrastructure setup.
# Human-machine interaction: Several conceptualizations of mixed-initiative workflows have been studied, particularly in the military, where automated agents play roles just as humans do. For innovative, adaptive, and collaborative human work, the techniques of [[human interaction management]] are required.
# Workflow analysis: Workflow systems allow users to develop executable processes with no familiarity with formal programming concepts. Automated workflow analysis techniques can help users analyze the properties of user workflows to conduct verification of certain properties before executing them, e.g., analyzing flow control or data flow. Examples of tools based on formal analysis frameworks have been developed and used for the analysis of scientific workflows and can be extended to the analysis of other types of workflows.<ref>{{Cite journal | last1 = Curcin | first1 = V. | last2 = Ghanem | first2 = M. | last3 = Guo | first3 = Y. | doi = 10.1098/rsta.2010.0157 | title = The design and implementation of a workflow analysis tool | journal = Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences | volume = 368 | issue = 1926 | pages = 4193–208 | year = 2010 | pmid =  20679131|bibcode = 2010RSPTA.368.4193C | s2cid = 7997426 | url = https://kclpure.kcl.ac.uk/portal/files/60972131/4193.full.pdf }}</ref>