Cppcheck
Clang Static Analyzer
Coverity Scan
lgtm.com
SonarQube
VisualCodeGrepper
Flawfinder
Parasoft C/C++test
Coveralls
CodeClimate
Codacy
SensioLabs Insight
ESLint
SonarQube
Source-Navigator NG
CodeFactor.io
Cppcheck CoverallsCppcheck is recommended for C/C++ developers and development teams, particularly those responsible for maintaining large codebases or projects where code quality and reliability are paramount. It is also beneficial for educational purposes, where students and new developers can learn about potential pitfalls in C/C++ programming.
Coveralls is recommended for software development teams and individual developers who are focused on improving code quality through comprehensive test coverage. It is especially useful for projects that already utilize CI/CD workflows, as it integrates smoothly into these processes. Teams seeking to maintain high standards of test-driven development will particularly benefit from its features.
Coveralls might be a bit more popular than Cppcheck. We know about 14 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 / over 2 years 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: about 3 years 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: over 3 years 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: over 3 years 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 3 years ago
For open-source projects, many SaaS platforms offer free tiers for monitoring. For tracking code coverage, you can use Codecov or Coveralls. For tracking complexity, CodeClimate is a good option. These platforms integrate well with GitHub repositories. - Source: dev.to / almost 2 years ago
Cpan_coverage: This calculates the coverage of your test suite and reports the results. It also uploads the results to coveralls.io. - Source: dev.to / over 2 years ago
I will normally use GitHub Actions to automatically run my test suite on each push, on every major version of Perl I support. One of the test runs will load Devel::Cover and use it to upload test coverage data to Codecov and Coveralls. - Source: dev.to / over 3 years ago
Coveralls.io โ Display test coverage reports, free for Open Source. - Source: dev.to / over 3 years ago
Several years ago I got into Travis CI and set up lots of my GitHub repos so they automatically ran the tests each time I committed to the repo. Later on, I also worked out how to tie those test runs into Coveralls.io so I got pretty graphs of how my test coverage was looking. I gave a talk about what I had done. - Source: dev.to / over 3 years ago
Clang Static Analyzer - The Clang Static Analyzer is a source code analysis tool that finds bugs in C, C++, and Objective-C...
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
Coverity Scan - Find and fix defects in your Java, C/C++ or C# open source project for free
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
lgtm.com - lgtm.com is a platform for code analytics.
SensioLabs Insight - PHP Project Quality Done Right.