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| <title>Using the GNU Compiler Collection (GCC): Gcov Intro</title> |
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| Next: <a href="Invoking-Gcov.html#Invoking-Gcov" accesskey="n" rel="next">Invoking Gcov</a>, Up: <a href="Gcov.html#Gcov" accesskey="u" rel="up">Gcov</a> [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Option-Index.html#Option-Index" title="Index" rel="index">Index</a>]</p> |
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| <a name="Introduction-to-gcov"></a> |
| <h3 class="section">10.1 Introduction to <code>gcov</code></h3> |
| |
| <p><code>gcov</code> is a test coverage program. Use it in concert with GCC |
| to analyze your programs to help create more efficient, faster running |
| code and to discover untested parts of your program. You can use |
| <code>gcov</code> as a profiling tool to help discover where your |
| optimization efforts will best affect your code. You can also use |
| <code>gcov</code> along with the other profiling tool, <code>gprof</code>, to |
| assess which parts of your code use the greatest amount of computing |
| time. |
| </p> |
| <p>Profiling tools help you analyze your code’s performance. Using a |
| profiler such as <code>gcov</code> or <code>gprof</code>, you can find out some |
| basic performance statistics, such as: |
| </p> |
| <ul> |
| <li> how often each line of code executes |
| |
| </li><li> what lines of code are actually executed |
| |
| </li><li> how much computing time each section of code uses |
| </li></ul> |
| |
| <p>Once you know these things about how your code works when compiled, you |
| can look at each module to see which modules should be optimized. |
| <code>gcov</code> helps you determine where to work on optimization. |
| </p> |
| <p>Software developers also use coverage testing in concert with |
| testsuites, to make sure software is actually good enough for a release. |
| Testsuites can verify that a program works as expected; a coverage |
| program tests to see how much of the program is exercised by the |
| testsuite. Developers can then determine what kinds of test cases need |
| to be added to the testsuites to create both better testing and a better |
| final product. |
| </p> |
| <p>You should compile your code without optimization if you plan to use |
| <code>gcov</code> because the optimization, by combining some lines of code |
| into one function, may not give you as much information as you need to |
| look for ‘hot spots’ where the code is using a great deal of computer |
| time. Likewise, because <code>gcov</code> accumulates statistics by line (at |
| the lowest resolution), it works best with a programming style that |
| places only one statement on each line. If you use complicated macros |
| that expand to loops or to other control structures, the statistics are |
| less helpful—they only report on the line where the macro call |
| appears. If your complex macros behave like functions, you can replace |
| them with inline functions to solve this problem. |
| </p> |
| <p><code>gcov</code> creates a logfile called <samp><var>sourcefile</var>.gcov</samp> which |
| indicates how many times each line of a source file <samp><var>sourcefile</var>.c</samp> |
| has executed. You can use these logfiles along with <code>gprof</code> to aid |
| in fine-tuning the performance of your programs. <code>gprof</code> gives |
| timing information you can use along with the information you get from |
| <code>gcov</code>. |
| </p> |
| <p><code>gcov</code> works only on code compiled with GCC. It is not |
| compatible with any other profiling or test coverage mechanism. |
| </p> |
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| Next: <a href="Invoking-Gcov.html#Invoking-Gcov" accesskey="n" rel="next">Invoking Gcov</a>, Up: <a href="Gcov.html#Gcov" accesskey="u" rel="up">Gcov</a> [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Option-Index.html#Option-Index" title="Index" rel="index">Index</a>]</p> |
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