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56<h3 class="section">10.1 Introduction to <samp><span class="command">gcov</span></samp></h3>
57
58<!-- man begin DESCRIPTION -->
59<p><samp><span class="command">gcov</span></samp> is a test coverage program.  Use it in concert with GCC
60to analyze your programs to help create more efficient, faster running
61code and to discover untested parts of your program.  You can use
62<samp><span class="command">gcov</span></samp> as a profiling tool to help discover where your
63optimization efforts will best affect your code.  You can also use
64<samp><span class="command">gcov</span></samp> along with the other profiling tool, <samp><span class="command">gprof</span></samp>, to
65assess which parts of your code use the greatest amount of computing
66time.
67
68 <p>Profiling tools help you analyze your code's performance.  Using a
69profiler such as <samp><span class="command">gcov</span></samp> or <samp><span class="command">gprof</span></samp>, you can find out some
70basic performance statistics, such as:
71
72     <ul>
73<li>how often each line of code executes
74
75     <li>what lines of code are actually executed
76
77     <li>how much computing time each section of code uses
78</ul>
79
80 <p>Once you know these things about how your code works when compiled, you
81can look at each module to see which modules should be optimized. 
82<samp><span class="command">gcov</span></samp> helps you determine where to work on optimization.
83
84 <p>Software developers also use coverage testing in concert with
85testsuites, to make sure software is actually good enough for a release. 
86Testsuites can verify that a program works as expected; a coverage
87program tests to see how much of the program is exercised by the
88testsuite.  Developers can then determine what kinds of test cases need
89to be added to the testsuites to create both better testing and a better
90final product.
91
92 <p>You should compile your code without optimization if you plan to use
93<samp><span class="command">gcov</span></samp> because the optimization, by combining some lines of code
94into one function, may not give you as much information as you need to
95look for `hot spots' where the code is using a great deal of computer
96time.  Likewise, because <samp><span class="command">gcov</span></samp> accumulates statistics by line (at
97the lowest resolution), it works best with a programming style that
98places only one statement on each line.  If you use complicated macros
99that expand to loops or to other control structures, the statistics are
100less helpful&mdash;they only report on the line where the macro call
101appears.  If your complex macros behave like functions, you can replace
102them with inline functions to solve this problem.
103
104 <p><samp><span class="command">gcov</span></samp> creates a logfile called <samp><var>sourcefile</var><span class="file">.gcov</span></samp> which
105indicates how many times each line of a source file <samp><var>sourcefile</var><span class="file">.c</span></samp>
106has executed.  You can use these logfiles along with <samp><span class="command">gprof</span></samp> to aid
107in fine-tuning the performance of your programs.  <samp><span class="command">gprof</span></samp> gives
108timing information you can use along with the information you get from
109<samp><span class="command">gcov</span></samp>.
110
111 <p><samp><span class="command">gcov</span></samp> works only on code compiled with GCC.  It is not
112compatible with any other profiling or test coverage mechanism.
113
114<!-- man end -->
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