Search Results for "detect it"

...Each entry documents the name, category, problem, example, refactoring strategy, and step-by-step treatments. The smells are grouped into two categories: design-related (coarse-grained, harder to detect, affecting architecture/processes) and low-level concerns (fine-grained, often readability and maintainability issues). The catalog evolves with community feedback and contributions, aiming to help developers recognize harmful patterns and apply disciplined refactoring to improve maintainability, testability, and performance in Elixir systems.

Sonar offers a single cohesive solution with a consistent set of metrics and hundreds of static analysis rules to detect your coding issues early. Plus fast and high-precision analysis means high value, low noise, and reliable results always. A single solution for dozens of popular languages, development frameworks and IaC platforms. Our powerful language-specific analysis not only detects coding issues but also helps you understand what's wrong and how to fix it.

...Allow you to effortlessly repair your Java coding issues with just a click. Dozens of rules to ensure your tests are always as clean as your code! Dedicated rules to detect vulnerabilities including ones stemming from OWASP & CWE Top 25 guidelines. It all comes from a powerful analysis engine that we constantly refine. Sonar employs advanced rules along with smart, exclusive analysis techniques to find the trickiest, most elusive issues.

...It uses any output of lint tools, with translation if required, and posts them as a comment if the file and line are in diff of patches to review. reviewdog also supports running in a local environment to filter the output of lint tools by diff. We can use various linters and static code analysis tools to detect such problems in local machines, editors, CI services. However, here is the problem. Static analysis tools may report false-positive results. Reporting false-positive results itself is ok, but due to the false-positive results we cannot make build fail and it becomes difficult for us to find true positive results from messed up analysis results.

...Compose has lots of superpowers but also has a bunch of foot guns to be aware of as seen in this Twitter Thread. This is where our static checks come in. We want to detect as many potential issues as we can, as quickly as we can. In this case, we want an error to show prior to engineers having to review the code. Similar to other static check libraries we hope this leads to a "don't shoot the messengers" philosophy which will foster healthy Compose adoption.

JSHint is a community-driven tool that detects errors and potential problems in JavaScript code. Since JSHint is so flexible, you can easily adjust it in the environment you expect your code to execute. JSHint is publicly available and will always stay this way. The project aims to help JavaScript developers write complex programs without worrying about typos and language gotchas. Any code base eventually becomes huge at some point, so simple mistakes, that would not show themselves when...

RIPS is a static code analysis tool for the automated detection of security vulnerabilities in PHP applications. It was released 2010 during the Month of PHP Security (www.php-security.org). NOTE: RIPS 0.5 development is abandoned. A complete rewrite with OOP support and higher precision is available at https://www.ripstech.com/next-generation/