SPARQL queries over source code

Setzu, Mattia;ATZORI, MAURIZIO

2016-01-01

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Abstract

We introduce a framework to extract and parse Java source code, serialize it into RDF triples by applying an appropriate ontology and then analyze the resulting structured code information by using standard SPARQL queries. We present our experiments on a sample of 134 Java repositories collected from Github, obtaining 17 Million triples about methods, input and output types, comments, and other source code information. Experiments also address the scalability of the framework. We finally provide examples of the level of expressivity that can be achieved with SPARQL by using our proposed ontology and semantic technologies.