Compare Polyspace Code Prover vs. froglogic Coco in 2025

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Description

Polyspace Code Prover serves as a static analysis tool aimed at ensuring that critical runtime errors are absent in C and C++ code without the need for execution. By employing formal methods, it examines every code path and possible input scenario to detect issues such as overflows, division by zero, and out-of-bounds accesses. The tool offers valuable insights into the ranges of variables and highlights unreachable code, which aids developers in enhancing software performance and maintaining quality. Additionally, Polyspace Code Prover adheres to safety standards including IEC 61508, ISO 26262, and DO-178C, making it an excellent choice for industries that demand strict software certification. Its comprehensive analysis capabilities enable teams to deliver reliable and robust software solutions.

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.