Computer Science > Databases
[Submitted on 25 Feb 2022 (v1), last revised 16 Jul 2022 (this version, v3)]
Title:Witness Generation for JSON Schema
View PDFAbstract:JSON Schema is an important, evolving standard schema language for families of JSON documents. It is based on a complex combination of structural and Boolean assertions, and features negation and recursion. The static analysis of JSON Schema documents comprises practically relevant problems, including schema satisfiability, inclusion, and equivalence. These three problems can be reduced to witness generation: given a schema, generate an element of the schema, if it exists, and report failure otherwise. Schema satisfiability, inclusion, and equivalence have been shown to be decidable, by reduction to reachability in alternating tree automata. However, no witness generation algorithm has yet been formally described. We contribute a first, direct algorithm for JSON Schema witness generation. We study its effectiveness and efficiency, in experiments over several schema collections, including thousands of real-world schemas. Our focus is on the completeness of the language, where we only exclude the uniqueItems operator, and on the ability of the algorithm to run in a reasonable time on a large set of real-world examples, despite the exponential complexity of the underlying problem.
Submission history
From: Carlo Sartiani [view email][v1] Fri, 25 Feb 2022 17:54:26 UTC (928 KB)
[v2] Wed, 2 Mar 2022 15:10:32 UTC (1,690 KB)
[v3] Sat, 16 Jul 2022 16:03:58 UTC (503 KB)
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