This article explains how to measure code coverage for C/C++ projects using GCC's built‑in Gcov tool and the LCOV utility, covering prerequisite setup, compilation with profiling flags, running tests, generating .gcno/.gcda files, producing .gcov reports, creating HTML visualizations, and cautions against over‑relying on coverage percentages.
The article details Youzan Retail’s precise iOS testing platform, which instruments Objective‑C code via GCC/LLVM to generate .gcno/.gcda files, processes them with LCOV, and provides both full and git‑diff‑based incremental coverage visualizations across CI, data collection, parsing, and reporting layers to improve manual and automated test quality.
This article provides a step‑by‑step tutorial on performing C++ code‑coverage testing using gcov, covering compilation flags, running the instrumented program, generating gcov reports, and creating detailed HTML reports with lcov, including command examples and configuration details.
This article explains how to set up gcov and lcov on Ubuntu, write a simple C++ program, compile it with coverage flags, generate .gcno and .gcda files, use lcov to create an HTML coverage report, and interpret the resulting line and function coverage percentages.
This article explains the concepts of code coverage, describes different coverage metrics such as statement, branch, and function coverage, introduces BullseyeCoverage and gcov/lcov tools, and provides detailed step‑by‑step procedures for measuring coverage in both executable binaries and dynamic libraries for C/C++ projects.
