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HAL Sorbonne Université
Conference object . 2021
DBLP
Conference object
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A Tool for JSON Schema Witness Generation.

Authors: Attouche, Lyes; Baazizi, Mohamed-Amine; Colazzo, Dario; Falleni, Francesco; Ghelli, Giorgio; Landi, Cristiano; Sartiani, Carlo; +1 Authors

A Tool for JSON Schema Witness Generation.

Abstract

JSON Schema is an evolving standard for the description of JSON documents. It is an extremely powerful language endowed with boolean operators and recursive definitions. Hence, classical problems like schema consistency and equivalence may be challenging without well-principled tools. Based on our recent effort for laying down an algebraic formal semantics of JSON Schema, we demonstrate an approach for generating valid witnesses of a user-defined schema. Our goal is not only to allow programmers to design schemas that meet their intentions, but also to guide them in their journey to understanding the semantics of existing schemas, in an interactive fashion. We thus aim to contribute to the adoption of the JSON Schema language by facilitating its use.

Countries
France, Italy
Keywords

[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green