CodeClimate might be a bit more popular than Cppcheck. We know about 11 links to it since March 2021 and only 10 links to Cppcheck. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I dedicated Sunday morning to going over the documentation of the linters we use in the project. The goal was to understand all options and use them in the best way for our project. Seeing their manuals side by side was nice because even very similar things are solved differently. Cppcheck is the most configurable and best documented; JSON Lint lies at the other end. - Source: dev.to / 2 months ago
Using infer, someone else exploited null-dereference checks to introduce simple affine types in C++. Cppcheck also checks for null-dereferences. Unfortunately, that approach means that borrow-counting references have a larger sizeof than non-borrow counting references, so optimizing the count away potentially changes the semantics of a program which introduces a whole new way of writing subtly wrong code. Source: 11 months ago
For my own projects, I used cppcheck. You can check out that tool to get a feel. Depending on what industry your in, you might need to follow a standard like Misra. Source: about 1 year ago
Https://cppcheck.sourceforge.io/ (there are many other static analysis tools, I just haven't used them or didn't care for them). Source: about 1 year ago
Sounds like something that could simply be communicated with the team that writes the tests. Unless you have dozens of such classes. In that case, you could just use e.g. Cppcheck and add a rule (regular expression) that searches for usages of the forbidden classes. Source: over 1 year ago
Codeclimate.com — Automated code review, free for Open Source and unlimited organisation-owned private repos (up to 4 collaborators). Also free for students and institutions. - Source: dev.to / over 1 year ago
Want to know how to enforce allowing only high-quality software into production? Check out this post on how to use CodeClimate can help you do just that! #DevOps #SoftwareDeveloper #softwaredevelopment #SoftwareEngineering #webdevelopment #codequality. Source: almost 2 years ago
Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes... - Source: dev.to / almost 2 years ago
The new code should not drop existing code coverage I've found in practice mainly catches changes to existing code that lack proper updates to existing tests. Our company uses Code Climate for these checks, so we don't have to manage / write our own tooling for this purpose. Source: over 2 years ago
TL;DR: Using static analysis tools helps by giving objective ways to improve code quality and keeps your code maintainable. You can add static analysis tools to your CI build to fail when it finds code smells. Its main selling points over plain linting are the ability to inspect quality in the context of multiple files (e.g. Detect duplications), perform advanced analysis (e.g. Code complexity), and follow the... - Source: dev.to / almost 3 years ago
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Clang Static Analyzer - The Clang Static Analyzer is a source code analysis tool that finds bugs in C, C++, and Objective-C...
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Coverity Scan - Find and fix defects in your Java, C/C++ or C# open source project for free
ESLint - The fully pluggable JavaScript code quality tool
PVS-Studio - PVS-Studio is a useful piece of software for detecting problems in source code. The software examines program codes written in C, C++, and C# for any problems that might prohibit the code from functioning properly.