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Description

DeepSource streamlines the process of identifying and resolving code issues during reviews, including risks of bugs, anti-patterns, performance bottlenecks, and security vulnerabilities. Setting it up with your Bitbucket, GitHub, or GitLab account takes under five minutes, making it incredibly convenient. It supports various programming languages such as Python, Go, Ruby, and JavaScript. Additionally, DeepSource encompasses all essential programming languages, Infrastructure-as-Code capabilities, secret detection, code coverage, and much more. This means you can rely solely on DeepSource for code protection. Initiate your development with the most advanced static analysis platform, ensuring that you catch bugs before they make their way into production. It boasts the largest array of static analysis rules available in the market. Your team will benefit from having a centralized location to monitor and address code health effectively. With DeepSource, code formatting can be automated, ensuring your CI pipeline remains intact without style violations disrupting the process. Furthermore, it can automatically generate and implement fixes for detected issues with just a few clicks, enhancing your team's productivity and efficiency.

Description

Coco® is a versatile tool designed for measuring code coverage across multiple programming languages. It utilizes automatic instrumentation of source code to assess the coverage of statements, branches, and conditions during testing. When a test suite is executed against this instrumented application, it generates data that can be thoroughly analyzed later. Through this analysis, developers can gain insights into the extent of source code tested, identify gaps in test coverage, determine which additional tests are necessary, and observe changes in coverage over time. Moreover, it helps in pinpointing redundant tests, as well as identifying untested or obsolete code segments. By evaluating the effect of patches on both the code and the overall coverage, Coco provides a comprehensive overview of testing efficacy. It supports various coverage metrics, including statement coverage, branch coverage, and Modified Condition/Decision Coverage (MC/DC), making it adaptable for diverse environments such as Linux, Windows, and real-time operating systems. The tool is compatible with various compilers, including GCC, Visual Studio, and embedded compilers. Users can also choose from different report formats, including text, HTML, XML, JUnit, and Cobertura, to suit their needs. Additionally, Coco can seamlessly integrate with a multitude of build, testing, and continuous integration frameworks, such as JUnit, Jenkins, and SonarQube, enhancing its utility in a developer's workflow. This comprehensive range of features makes Coco an essential asset for any team focused on ensuring high-quality software through effective testing practices.