CRUST: A C/C++ to Rust Transpiler Using a “Nano-parser Methodology” to Avoid C/C++ Safety Issues in Legacy Code

Shetty, Nishanth; Saldanha, Nikhil; Thippeswamy, M. N.

doi:10.1007/978-981-13-5953-8_21

Cited by 1 publication

(1 citation statement)

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“…CRUST employs an intriguing technique, a transpiler that converts C / C++ programs to Rust 2 code. In the CRUST conversion process, a set of compact syntactic analyzers called Nano-Parsers [11] is utilized. These Nano-Parsers are designed to handle specific grammars and cooperate with other analyzers, including a Master Parser, to handle complex text inputs.…”

Section: Related Workmentioning

confidence: 99%

GAST: A generic AST representation for language-independent source code analysis

Leiton-Jimenez,

Barboza-Artavia,

Gonzalez-Torres

et al. 2023

Enfoque UTE

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Organizations use various programming languages to develop their systems. These aim to take advantage of the most appropriate features of each language for a given domain and require programmers to command different languages and also to face the growing complexity of software development and maintenance. So, they need tools to help them analyze programs to identify relationships between their internal elements, uncover patterns, and calculate quality metrics. However, most tools have limited support for parsing multiple programming languages and high acquisition costs. Therefore, there is a need for new methods to analyze code written in multiple programming languages. This article describes the design of a method to automatically transform the syntax of various programming languages into a universal language with a generic syntax. The function of the generic language is to encapsulate the specificities of each specific language, so that the analysis of programs is facilitated in a single programming syntax and not in multiple syntaxes. The advantage of this approach is that only one analysis engine is required, not multiple code analyzers, to study the programs.

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Section: Related Workmentioning

confidence: 99%