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Related Experiment Video

Updated: Nov 10, 2025

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars

Published on: November 1, 2018

Evaluation of Rust code verbosity, understandability and complexity.

Luca Ardito¹, Luca Barbato², Riccardo Coppola¹

¹Department of Control and Computer Engineering, Polytechnic Institute of Turin, Torino, Piemonte, Italia.

Peerj. Computer Science

|April 5, 2021

Summary

This summary is machine-generated.

Rust code shows average complexity and good maintainability, outperforming C/C++ in key metrics. Its low cognitive complexity and memory safety encourage wider adoption, especially over C.

Keywords:

Software maintainability Software metrics Software quality

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Area of Science:

Software Engineering
Programming Language Analysis
Computer Science

Background:

Rust is a modern programming language focused on performance, reliability, and productivity.
Static software metrics are crucial for evaluating code quality attributes like complexity and maintainability.

Purpose of the Study:

To assess Rust's verbosity, understandability, organization, complexity, and maintainability using common static software metrics.
To compare Rust's software metrics against C, C++, Python, JavaScript, and TypeScript.

Main Methods:

Selected nine algorithm implementations across various languages.
Utilized an extended `rust-code-analysis` tool for metric computation and comparison.
Analyzed metrics including code size, source organization, Cyclomatic Complexity, Halstead Metrics, Maintainability Indexes, and COGNITIVE complexity.

Main Results:

Rust code exhibited average verbosity and superior source organization compared to other languages.
Rust demonstrated better Cyclomatic Complexity, Halstead Metrics, and Maintainability Indexes than C and C++.
Rust achieved the lowest COGNITIVE complexity among all evaluated languages.

Conclusions:

Rust offers average complexity and good maintainability, surpassing C and C++ in key metrics.
The language's low cognitive complexity and inherent safety features support its adoption over C in various environments.