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Description

LuaCov serves as a straightforward coverage analysis tool for Lua scripts. By running a Lua script with the luacov module activated, it produces a statistics file detailing the execution count for each line within the script and its associated modules. This statistics file is then processed by the luacov command-line tool to create a report, enabling users to identify untraversed code paths, which is essential for assessing the thoroughness of a test suite. The tool offers a variety of configuration options, with the default settings found in src/luacov/defaults.lua, representing the global defaults. For those needing project-specific configurations, they can create a Lua script that either sets options as global variables or returns a table containing specific options, saving this file as .luacov in the project directory where luacov is executed. For instance, such a configuration could specify that only the foo module and its associated submodules should be included in the coverage analysis, indicating that these are located within the src directory. This flexibility allows developers to fine-tune their coverage analysis to better align with their project needs.

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.