Search Results for "software metrics"
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Showing 16 open source projects for "software metrics"
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Static Analysis Tools for PHP
Docker image that provides static analysis tools for PHP
Docker image providing static analysis tools for PHP. The list of available tools and the installer is actually managed in the jakzal/toolbox repository. Docker image with quality analysis tools for PHP. To run the selected tool inside the container, you'll need to mount the project directory on the container with -v "$(pwd):/project". Some tools like to write to the /tmp directory (like PHPStan, or Behat in some cases), therefore it's often useful to share it between docker runs, i.e. with... -
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SonarJS
SonarSource Static Analyzer for JavaScript and TypeScript
This SonarSource project is a static code analyzer for JavaScript, TypeScript and CSS languages. In order to analyze JavaScript, TypeScript or CSS code, you need to have a supported version of Node.js installed on the machine running the scan. Recommended versions are the previous LTS version v14 and the latest version - v16. We recommend using the latest available LTS version (v16 as of today) for optimal stability and performance. v12 is still supported, but it already reached end-of-life... -
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Sloc Cloc and Code (scc)
Sloc, Cloc and Code: scc is a very fast accurate code counter
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go. The tool is similar to cloc, sloccount and tokei. For counting the lines of code, blank lines, comment lines, and physical lines of source code in many programming languages. The goal is to be the fastest code counter possible, but also perform COCOMO calculations like sloccount, estimate code complexity similar to cyclomatic complexity calculators, and produce... -
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Code Maat
A command line tool to mine and analyze data from version-control
Code Maat is a command-line tool for analyzing version-control systems (Git, SVN, etc.) to uncover code health insights—development hotspots, author coupling, and temporal change metrics. Created by Adam Tornhill, it supports research in behavioral code analysis and is often paired with his books like Code as a Crime Scene and Software Design X‑Rays. -
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Metrix++
Management of source code quality is possible.
The project has been moved to https://github.com/metrixplusplus/metrixplusplus ______________________ Metrix++ is an extendable tool to collect and analyse code metrics. - Multiple languages supported - Multiple metrics available - Configurable. Every metric has got 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules. You can choose and configure any limit you want. - High-performance. Processes thousands of files per minutes. -... -
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How good is your software? jmove eases the understanding and valuation of the design and architecture of complex software written in java. It provides dependency analysis, metrics, design rule checking and impact analysis.
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Hack
A typeface designed for source code
Hack includes monospaced regular, bold, italic, and bold italic sets to cover all of your syntax highlighting needs. Over 1500 glyphs that include lovingly tuned extended Latin, modern Greek, and Cyrillic character sets. Powerline glyphs are included in the regular set. Patching is not necessary. Install and go. No frills. No gimmicks. Hack is hand groomed and optically balanced to be your go-to code face. Type design features to improve legibility in the harsh conditions of the screen. A... -
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Halstead Metrics Tool
Software Metrics Analyzer for C,C++,Java Programs
Some software measures are still not widely used in industry, despite the fact that they were defined many years ago, and some additional insights might be gained by revisiting them today with the benefit of recent lessons learned about how to analyze their design. This project analyzes the design and definitions of Halstead’s metrics, the set of which is commonly referred to as ‘software science’. -
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SrcME
Source Code Metrics Extraction tool
SrcME (Source Code Metrics Extraction) tool helps in extracting various code metrics from different programming languages (Initially, C/C++ and Java source code are considered). -
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GMetrics provides calculation and reporting of size and complexity metrics for Groovy source code. This project has moved to GitHub: https://github.com/dx42/gmetrics
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AdLint
Open source and free source code static analyzer
AdLint is a source code static analyzer. It can point out insecure or nonportable code fragments, and can measure various quality metrics of the source code. It (currently) can analyze source code compliant with ANSI C89 / ISO C90 and partly ISO C99. AdLint is written in Ruby. So, it is available for Windows, Mac OS X, GNU/Linux, FreeBSD and any other platforms supported by Ruby. -
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Eclipse Plug-In that determines the Minimal Access Modifier of Java types and methods project and computes the software metrics Inappropriate Generosity with Accessibility of Types (IGAT) and Inappropriate Generosity with Accessibility of Methods (IGAM). The Minimal Access Modifier of a Java type or type member is the most restrictive access modifier that is able to allow all actual usages of the particular type or member from inside a given code base (normally the entire source code of the respective Java project). ...
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A tool to help developers and security professionals conduct manual security code reviews in a consistent and repeatable way. Agnitio aims to replace the adhoc nature of manual security code review documentation, create an audit trail and reporting.
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"No comment!" is a command-line tool that generates various comment-related metrics for source code files (e. g. comment density, blank lines per file)
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Provide metrics calculation and dependency analyzer plugin for the Eclipse platform. Measure metrics with avg and std deviation and detect cycles in package and type dependencies. Continuation of work from http://sourceforge.net/projects/metrics.
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JavaCount is a simple (Code, Comments, Cyclomatic and Statements) counter for Java methods that ouput the metrics in various formats (csv, xml, etc) -- Acknowledgement: EU Funded FP6 Qualoss Project (see http://www.qualoss.eu).
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