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Computer Science > Programming Languages

arXiv:2203.09658 (cs)
[Submitted on 17 Mar 2022 (v1), last revised 28 Mar 2022 (this version, v2)]

Title:Lupa: A Framework for Large Scale Analysis of the Programming Language Usage

Authors:Anna Vlasova, Maria Tigina, Ilya Vlasov, Anastasiia Birillo, Yaroslav Golubev, Timofey Bryksin
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Abstract:In this paper, we present Lupa - a framework for large-scale analysis of the programming language usage. Lupa is a command line tool that uses the power of the IntelliJ Platform under the hood, which gives it access to powerful static analysis tools used in modern IDEs. The tool supports custom analyzers that process the rich concrete syntax tree of the code and can calculate its various features: the presence of entities, their dependencies, definition-usage chains, etc. Currently, Lupa supports analyzing Python and Kotlin, but can be extended to other languages supported by IntelliJ-based IDEs. We explain the internals of the tool, show how it can be extended and customized, and describe an example analysis that we carried out with its help: analyzing the syntax of ranges in Kotlin.
Comments: 5 pages, 2 figures
Subjects: Programming Languages (cs.PL); Software Engineering (cs.SE)
Cite as: arXiv:2203.09658 [cs.PL]
  (or arXiv:2203.09658v2 [cs.PL] for this version)
  https://doi.org/10.48550/arXiv.2203.09658

Submission history

From: Yaroslav Golubev [view email]
[v1] Thu, 17 Mar 2022 23:46:49 UTC (258 KB)
[v2] Mon, 28 Mar 2022 23:18:18 UTC (258 KB)
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