About: A Choreography-Driven Approach to APIs: The OpenDXL Case Study

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A Choreography-Driven Approach to APIs: The OpenDXL Case Study
Creator	Frittelli, Leonardo Maldonado, Facundo Melgratti, Hernán Tuosto, Emilio
Source	PMC
abstract	We propose a model-driven approach based on formal data-driven choreographies to model message-passing applications. We apply our approach to the threat intelligence exchange (TIE) services provided by McAfee through the OpenDXL industrial platform. We advocate a chain of model transformations that (i) devises a visual presentation of communication protocols, (ii) formalises a global specification from the visual presentation that captures the data flow among services, (iii) enables the automatic derivation of specifications for the single components, and (iv) enables the analysis of software implementations.
has issue date	2020-05-13(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50029-0_7
has license	no-cc
sha1sum (hex)	e6efb473ef4fda97eb9947e17d19481a4bfc93fa
schema:url	https://doi.org/10.1007/978-3-030-50029-0_7
resource representing a document's title	A Choreography-Driven Approach to APIs: The OpenDXL Case Study
has PubMed Central identifier	PMC7282873
schema:publication	Coordination Models and Languages
resource representing a document's body	covid:e6efb473ef4fda97eb9947e17d19481a4bfc93fa#body_text
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