Comprehensive Analysis
Coverity Scan offers deep and comprehensive analysis of your codebase, enabling the detection of critical bugs and security vulnerabilities that might be missed by other tools.
Wide Language Support
Coverity Scan supports a wide range of programming languages including C, C++, Java, JavaScript, and Python, making it versatile for various projects.
Integration with Development Workflow
Seamlessly integrates with popular version control systems like GitHub, making it easy to incorporate into your existing development workflow.
Actionable Reports
Provides detailed and actionable reports that help developers understand the root cause of issues and how to fix them efficiently.
Free for Open Source
Available for free for open-source projects, making it an accessible tool for community-driven and non-commercial projects.
Yes, Coverity Scan is widely regarded as a good tool for static code analysis.
We have collected here some useful links to help you find out if Coverity Scan is good.
Check the traffic stats of Coverity Scan on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Coverity Scan on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Coverity Scan's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Coverity Scan on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Coverity Scan on Reddit. This can help you find out how popualr the product is and what people think about it.
You can use Coverity for free on open source code. I use it on an app I open sourced for packet processing. https://scan.coverity.com/. Source: over 3 years ago
Scan.coverity.com — Static code analysis for Java, C/C++, C# and JavaScript, free for Open Source. - Source: dev.to / almost 4 years ago
I personally remember Coverity Scan being completely offline for like 6 months while they tried to deal with infrastructure abuse from people mining bitcoin on their computing clusters. Source: about 4 years ago
> Does anyone know any good static analysers other than gcc's or clang's? Visual C++ as well, because since the XP SP2 issues, Microsoft has come up with SAL, which you can also use on your own code, https://docs.microsoft.com/en-us/cpp/code-quality/using-sal-annotations-to-reduce-c-cpp-code-defects?view=msvc-160 Then specialized tooling just for this purpose, just two examples, https://scan.coverity.com/... - Source: Hacker News / over 4 years ago
Coverity Scan by Synopsys is a widely recognized tool in the domain of static code analysis, catering primarily to open-source projects. As a cloud-based solution, it supports major programming languages like C, C++, Java, C#, and JavaScript, rendering it a versatile choice for developers aiming to improve code quality and reduce defects. The public opinion of Coverity Scan reflects a balanced mix of appreciation and recognition of its capabilities, alongside some concerns regarding its operational history.
Comprehensive Code Analysis: Coverity Scan is lauded for its ability to thoroughly analyze code, identifying a wide range of issues from simple coding errors to complex performance bottlenecks. Its detailed and clear issue descriptions facilitate faster resolutions, enabling developers to remediate software defects efficiently. This capability positions Coverity Scan as an advantageous tool for improving code performance and reducing build times, as emphasized in discussions about static code analysis tools.
Support for Open-Source Projects: Coverity Scan's offer as a free tool for open-source projects has significantly increased its adoption within the developer community. This feature provides an accessible entry point for developers who are contributing to open-source software, allowing them to uphold high coding standards without incurring additional costs.
Robust Documentation: Another appreciated aspect of Coverity is its comprehensive documentation, which serves as a valuable resource for developers. This documentation provides detailed insights and information that is indispensable for writing and maintaining high-quality code. Users have acknowledged the utility of having such resources readily available.
Service Stability: Historical service stability has been a concern. Users noted significant downtime, citing a period when the service was reportedly offline for several months due to infrastructure misuse related to unauthorized cryptocurrency mining activities. Such issues have understandably contributed to hesitancy among potential users regarding the tool's reliability and availability.
Alternative Preferences: While Coverity Scan is appreciated for its capabilities, some developers seek alternatives due to preference for other toolsets or the pursuit of additional features. Competitors like SonarQube and Veracode are frequently mentioned alongside Coverity, highlighting the competitive landscape of static code analysis tools.
In summary, Coverity Scan remains a respected tool within the software development and open-source communities, praised for its detailed analysis capabilities and supportive documentation. However, historical issues with service reliability have left some users cautious. As the landscape of static code analysis tools continues to evolve, maintaining stability and enhancing its offerings could further solidify Coverity Scan's position in this competitive field. As with any tool, prospective users should assess their specific needs and project requirements to determine the best fit.
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