Gcovr provides a utility for managing the use of the GNU gcov utility and generating summarized code coverage results. This command is inspired by the Python coverage.py package, which provides a similar utility in Python. The gcovr command produces either compact human-readable summary reports, machine readable XML reports (in Cobertura format) or simple HTML reports. Thus, gcovr can be viewed as a command-line alternative to the lcov utility, which runs gcov and generates an HTML-formatted report; the development of gcovr was motivated by the need for text and XML reports. This documentation describes Gcovr 3.3.

1. Overview

Gcovr is a Python package that includes a self-contained gcovr command. Gcovr is an extension of gcov, a GNU utility that summarizes the lines of code that are executed - or "covered" - while running an executable. The gcovr command interprets gcov data files to summarize code coverage in several formats:

  • Text output with coverage statistics indicated with summary statistics and lists of uncovered line, and

  • XML output that is compatible with the Cobertura code coverage utility.

The Gcovr Home Page is http://gcovr.com. This webpage contains links for documentation in HTML, PDF, and EPUB formats. The Gcovr Home Page also includes developer resources (e.g. automated test results). Gcovr is available under the BSD license.

The Gcovr User Guide provides the following documentation:

2. Getting Started

The gcovr command provides a summary of the lines that have been executed in a program. Code coverage statistics help you discover untested parts of a program, which is particularly important when assessing code quality. Well-tested code is a characteristic of high quality code, and software developers often assess code coverage statistics when deciding if software is ready for a release.

The gcovr command can be used to analyze programs compiled with GCC. The following sections illustrate the application of gcovr to test coverage of the following program:

    1: // example1.cpp
    3: int foo(int param)
    4: {
    5:     if (param)
    6:     {
    7:         return 1;
    8:     }
    9:     else
   10:     {
   11:         return 0;
   12:     }
   13: }
   15: int main(int argc, char* argv[])
   16: {
   17:     foo(0);
   19:     return 0;
   20: }

This code executes several subroutines in this program, but some lines in the program are not executed.

2.1. Tabular Output of Code Coverage

We compile example1.cpp with the GCC compiler as follows:

g++ -fprofile-arcs -ftest-coverage -fPIC -O0 example1.cpp -o program

Note that we compile this program without optimization, because optimization may combine lines of code and otherwise change the flow of execution in the program. Additionally, we compile with the -fprofile-arcs -ftest-coverage -fPIC compiler options, which add logic to generate output files that can be processed by the gcov command.

The compiler generates the program executable. When we execute this command:


the files example1.gcno and example1.gcda are generated. These files are processed with by gcov to generate code coverage statistics. The gcovr command calls gcov and summarizes these code coverage statistics in various formats. For example:

../../../scripts/gcovr -r .

generates a text summary of the lines executed:

                           GCC Code Coverage Report
Directory: .
File                                       Lines    Exec  Cover   Missing
example1.cpp                                   7       6    85%   7
TOTAL                                          7       6    85%

Each line of this output includes a summary for a given source file, including the number of lines instrumented, the number of lines executed, the percentage of lines executed, and a summary of the line numbers that were not executed. To improve clarity, gcovr uses an aggressive approach to grouping uncovered lines and will combine uncovered lines separated by "non-code" lines (blank, freestanding braces, and single-line comments) into a single region. As a result, the number of lines listed in the "Missing" list may be greater than the difference of the "Lines" and "Exec" columns.

The -r option specifies the root directory for the files that are being analyzed. This allows gcovr to generate a simpler report (without absolute path names), and it allows system header files to be excluded from the analysis.

Note that gcov accumulates statistics by line. Consequently, it works best with a programming style that places only one statement on each line. In example1.cpp, the MACRO macro executes a branch, but gcov cannot discern which branch is executed.

2.2. Tabular Output of Branch Coverage

The gcovr command can also summarize branch coverage using the --branches option:

../../../scripts/gcovr -r . --branches

This generates a tabular output that summarizes the number of branches, the number of branches taken and the branches that were not completely covered:

                           GCC Code Coverage Report
Directory: .
File                                    Branches   Taken  Cover   Missing
example1.cpp                                   2       1    50%   5
TOTAL                                          2       1    50%

2.3. XML Output

The default output format for gcovr is to generate a tabular summary in plain text. The gcovr command can also generate an XML output using the --xml and --xml-pretty options:

../../../scripts/gcovr -r . --xml-pretty

This generates an XML summary of the lines executed:

<?xml version="1.0" ?>
<!DOCTYPE coverage
  SYSTEM 'http://cobertura.sourceforge.net/xml/coverage-03.dtd'>
<coverage branch-rate="0.5" line-rate="0.8571428571428571"
 timestamp="1470497828" version="gcovr 3.3">
  <package branch-rate="0.5" complexity="0.0" line-rate="0.8571428571428571"
    <class branch-rate="0.5" complexity="0.0" filename="example1.cpp"
     line-rate="0.8571428571428571" name="example1_cpp">
      <line branch="false" hits="1" number="3"/>
      <line branch="true" condition-coverage="50% (1/2)" hits="1" number="5">
        <condition coverage="50%" number="0" type="jump"/>
      <line branch="false" hits="0" number="7"/>
      <line branch="false" hits="1" number="11"/>
      <line branch="false" hits="1" number="15"/>
      <line branch="false" hits="1" number="17"/>
      <line branch="false" hits="1" number="19"/>

This XML format is in the Cobertura XML format suitable for import and display within the Jenkins and Hudson continuous integration servers using the Cobertura Plugin.

The --xml option generates a denser XML output, and the --xml-pretty option generates an indented XML output that is easier to read. Note that the XML output contains more information than the tabular summary. The tabular summary shows the percentage of covered lines, while the XML output includes branch statistics and the number of times that each line was covered. Consequently, XML output can be used to support performance optimization in the same manner that gcov does.

2.4. HTML Output

The gcovr command can also generate a simple HTML output using the --html option:

../../../scripts/gcovr -r . --html -o example1.html

This generates a HTML summary of the lines executed. In this example, the file example1.html is generated, which has the following output:


The default behavior of the --html option is to generate HTML for a single webpage that summarizes the coverage for all files. The HTML is printed to standard output, but the -o (--output) option is used to specify a file that stores the HTML output.

The --html-details option is used to create a separate web page for each file. Each of these web pages includes the contents of file with annotations that summarize code coverage. Consider the following command:

../../../scripts/gcovr -r . --html --html-details -o example2.html

This generates the following HTML page for the file example1.cpp:


Note that the --html-details option can only be used with the -o (--output) option. For example, if the --output option specifies the output file coverage.html, then the web pages generated for each file will have names of the form coverage.<filename>.html.

3. The gcovr Command

The gcovr command recursively searches a directory tree to find gcov coverage files, and generates a text summary of the code coverage. The --help option generates the following summary of the gcovr command line options:

Usage: gcovr [options]

A utility to run gcov and generate a simple report that summarizes the

  -h, --help            show this help message and exit
  --version             Print the version number, then exit
  -v, --verbose         Print progress messages
                        Specify the directory that contains the gcov data
                        files.  gcovr must be able to identify the path
                        between the *.gcda files and the directory where gcc
                        was originally run.  Normally, gcovr can guess
                        correctly.  This option overrides gcovr's normal path
                        detection and can specify either the path from gcc to
                        the gcda file (i.e. what was passed to gcc's '-o'
                        option), or the path from the gcda file to gcc's
                        original working directory.
  -o OUTPUT, --output=OUTPUT
                        Print output to this filename
  -k, --keep            Keep the temporary *.gcov files generated by gcov.  By
                        default, these are deleted.
  -d, --delete          Delete the coverage files after they are processed.
                        These are generated by the users's program, and by
                        default gcovr does not remove these files.
  -f FILTER, --filter=FILTER
                        Keep only the data files that match this regular
  -e EXCLUDE, --exclude=EXCLUDE
                        Exclude data files that match this regular expression
                        Keep only gcov data files that match this regular
                        Exclude gcov data files that match this regular
  -r ROOT, --root=ROOT  Defines the root directory for source files.  This is
                        also used to filter the files, and to standardize the
  -x, --xml             Generate XML instead of the normal tabular output.
  --xml-pretty          Generate pretty XML instead of the normal dense
  --html                Generate HTML instead of the normal tabular output.
  --html-details        Generate HTML output for source file coverage.
                        Set the paths in the HTML report to be absolute
                        instead of relative
  -b, --branches        Tabulate the branch coverage instead of the line
  -u, --sort-uncovered  Sort entries by increasing number of uncovered lines.
  -p, --sort-percentage
                        Sort entries by decreasing percentage of covered
                        Defines the name/path to the gcov executable [defaults
                        to the GCOV environment variable, if present; else
                        Exclude from coverage branches which are marked to be
                        excluded by LCOV/GCOV markers or are determined to be
                        from lines containing only compiler-generated "dead"
                        Exclude directories from search path that match this
                        regular expression
  -g, --use-gcov-files  Use preprocessed gcov files for analysis.
  -s, --print-summary   Prints a small report to stdout with line & branch
                        percentage coverage

The following sections illustrate the use of these command line options.

4. Installation

Gcovr requires virtually no installation. The gcovr command can be downloaded and used directly without installing additional files.

If you have pip installed, then you can install Gcovr from the PyPI network servers by executing

pip install gcovr

This places the gcovr executable in the bin or Scripts directory for you python installation.

The gcovr script has been tested with many different versions of CPython 2.7, 3.4, and 3.5, and PyPy 2.7 and 3.5.

5. Status and Future Plans

The Gcovr 3.0 release is the first release that is hosted a GitHub. Previous Gcovr development was hosted at Sandia National Laboratories as part of the FAST project. However, Gcovr is now widely used outside of Sandia, and GitHub will facilitate the integration of contributions from a wider set of developers.


The following developers contributed to the Gcovr 3.3 release:

  • ja11sop

  • Jörg Kreuzberger

  • Arvin Schnell

  • Andrew Stone

  • Attie Grande

  • Mikael Salson

  • Kai Blaschke

  • mikkleini

  • trapzero

  • B Brian Bauer

  • William Hart

The Gcovr documentation is generated using AsciiDoc.

We would like to thank the following organizations for providing web hosting and computing resources: GitHub and Sandia National Laboratories. The development of Gcovr has been partially supported by Sandia National Laboratories. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.

Appendix A: Testing Gcovr

In the gcovr/tests directory, you can execute

python test_gcovr.py

to launch all tests. By default, this test script executes test suites on a variety of code configurations that reflect different use-cases for gcovr.

You can execute a specific test suite by giving its name as an argument to this test script. For example, the command

python test_gcovr.py GcovrXml

executes the GcovrXml test suite, which tests gcovr with XML output.

To run the test_gcovr.py script, you will need to install the pyutilib.th package. If you have pip installed, then you can install this package from PyPI by executing

pip install pyutilib.th