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Quantitative measurement of the size and composition of a codebase across various languages.
Distinct from Source Code Analysis: Candidates focus on educational analysis or managed code; this is a quantitative volume measurement.
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cloc is a codebase metrics tool and multi-language code analyzer designed to count blank lines, comment lines, and physical lines of code. It serves as a source code line counter and report generator that identifies file types to calculate source volume across a wide variety of programming languages. The tool distinguishes itself by providing codebase version comparison to measure relative changes in source and comment lines between two versions of a directory or archive. It also supports the definition of custom languages and the extension of language recognition by loading custom comment fi
Counts blank lines, comment lines, and physical lines of code across numerous languages to determine project size.
Checkstyle is a Java static analysis tool and linter designed to identify and enforce coding standards and best practices. It functions as a code quality auditor and Javadoc validation tool, checking source code against configurable rulesets to ensure structural and stylistic consistency. The project allows for the creation of custom linting rules by extending a core API to inspect the abstract syntax tree. It further enables specialized validation through the use of XPath expressions to query the syntax tree for specific code patterns and violations. Capability areas include the enforcement
Counts non-commenting source statements to quantitatively measure the size and composition of code elements.
Scc is a codebase analysis tool written in Go that calculates source lines of code, blank lines, and comments across hundreds of programming and markup languages. It functions as a source code metric engine, software complexity analyzer, and cost estimator. The project differentiates itself by providing a COCOMO cost estimator to predict development effort and financial costs, alongside tools to estimate the cost of regenerating a codebase using large language models. It also includes a Git repository metrics tool that correlates commit history with codebase metrics to identify hotspots, trac
Scc processes source code across hundreds of programming and markup languages by identifying file extensions and markers.