Coveralls might be a bit more popular than PVS-Studio. We know about 13 links to it since March 2021 and only 12 links to PVS-Studio. 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.
These checks are always very special for us because static analyzers operate almost the same way as compilers do when they analyze code. Compilers also leverage static analysis to issue warnings. They're almost cousins, though. However, each of them is good at their own thing. This article is proof of that. The Clang compiler, a part of LLVM, compiled our analyzer and got it working. We even have an article about... - Source: dev.to / 21 days ago
This is where static code analysis tools such as PVS-Studio come in. Analyzers check code regardless of how often (with what probability) it's executed while the application is running. That's why analyzers can find errors in rarely used code. Let's look at such a case:. - Source: dev.to / about 1 month ago
The analyzer has found various types of errors in the project. So, we'd like to look at them from different angles. That's why I'll publish several articles on different topics. The first one is dedicated to the Best button in the PVS-Studio plugins. - Source: dev.to / about 2 months ago
One of the ways to create better and more secure code is to use static analyzers such as PVS-Studio. The tool provides code analysis for the C, C++, C#, and Java programming languages. - Source: dev.to / 2 months ago
I checked the code with the PVS-Studio analyzer using the plugin for Visual Studio. - Source: dev.to / 12 months 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 / 5 months 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 1 year ago
Coveralls.io — Display test coverage reports, free for Open Source. - Source: dev.to / over 1 year 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 1 year ago
This approach will create two json coverage files, which will be merged together by NYC. Therefore the results will be purely local. If You don't mind using online tools like Codecov or Coveralls for merging data from different tests, then go ahead and use them. They will probably also be more accurate. But if You still want to learn how to get coverage from E2E, then please read through. - Source: dev.to / almost 2 years ago
Cppcheck - Cppcheck is an analysis tool for C/C++ code. It detects the types of bugs that the compilers normally fail to detect. The goal is no false positives. CppCheckDownload cppcheck for free.
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.
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.
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.
Parasoft C/C++test - Ensure compliance with a variety of functional safety, security, and coding standards in embedded C/C++ software.