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JSLint is a static code analysis tool used in software development for checking if JavaScript source code complies with coding rules. It is provided primarily as a browser-based web application accessible through the domain jslint.com, but there are also command-line adaptations. [1] It was created in 2002 by Douglas Crockford. [2]
Export (Excel): Specifies whether the product support exporting (saving) selected rows to an Excel file. Usually also implies capability to copy the rows to the clipboard (in some format) for pasting into Excel.
Static analysis can be done manually as a code review or auditing of the code for different purposes, including security, but it is time-consuming. [7] The precision of SAST tool is determined by its scope of analysis and the specific techniques used to identify vulnerabilities. Different levels of analysis include:
Static application security testing (Static Code Analysis) tool Online Semgrep: 2025-01-29 (1.106.0) Yes; LGPL v2.1 — — Java JavaScript, TypeScript — Python Go, JSON, PHP, Ruby, language-agnostic mode A static analysis tool that helps expressing code standards and surfacing bugs early. It also has experimental support for eleven other ...
A JavaScript library is a library of pre-written JavaScript code that allows for easier development of JavaScript-based applications, [1] especially for AJAX and other web-centric technologies. [2] They can be included in a website by embedding it directly in the HTML via a script tag.
BDD / TDD assertion library for node and the browser that can be delightfully paired with any javascript testing framework. JSUS: Yes: No [246] A simple JavaScript Unit teSting tool Wallaby.js: Yes: Yes [247] Commercial. Continuous test runner that reports code coverage and other results directly to the code editor immediately as the code changes.
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A software code audit is a comprehensive analysis of source code in a programming project with the intent of discovering bugs, security breaches or violations of programming conventions. It is an integral part of the defensive programming paradigm, which attempts to reduce errors before the software is released.