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Tutorial Two

Testing a Simple Regular Expression Library

This is an example of using KLEE to test a simple regular expression matching function. You can find the basic example in the source tree under examples/regexp.

Regexp.c contains a simple regular expression matching function, and the bare bones testing harness (in main()) needed to explore this code with KLEE. You can see a version of the source code here.

This example will show to build and run the example using KLEE, as well as how to interpret the output, and some additional KLEE features that can be used when writing a test driver by hand.

We’ll start by showing how to build and run the example, and then explain how the test harness works in more detail.

Building the example

The first step is to compile the source code using a compiler which can generate object files in LLVM bitcode format. Here we use Clang but if you have built KLEE with LLVM 2.9, you should use llvm-gcc. Notice that llmv-gcc creates .o files (e.g. Regexp.o), so you need to modify the commands accordingly.

From within the examples/regexp directory:

$ clang -I ../../include -emit-llvm -c -g Regexp.c

which should create a Regexp.bc file in LLVM bitcode format. The -I argument is used so that the compiler can find klee/klee.h, which contains definitions for the intrinsic functions used to interact with the KLEE virtual machine. -c is used because we only want to compile the code to an object file (not a native executable), and finally -g causes additional debug information to be stored in the object file, which KLEE will use to determine source line number information.

If you have the LLVM tools installed in your path, you can verify that this step worked by running llvm-nm on the generated file:

$ llvm-nm Regexp.bc
        t matchstar
        t matchhere
        T match
        T main
        U klee_make_symbolic_name
        d LC
        d LC1

Normally before running this program we would need to link it to create a native executable. However, KLEE runs directly on LLVM bitcode files – since this program only has a single file there is no need to link. For “real” programs with multiple inputs, the llvm-link and llvm-ld tools can be used in place of the regular link step to merge multiple LLVM bitcode files into a single module which can be executed by KLEE.

Executing the code with KLEE

The next step is to execute the code with KLEE:

$ klee --only-output-states-covering-new Regexp.bc
KLEE: output directory = "klee-out-1"
KLEE: ERROR: .../klee/examples/regexp/Regexp.c:23: memory error: out of bound pointer
KLEE: NOTE: now ignoring this error at this location
KLEE: ERROR: .../klee/examples/regexp/Regexp.c:25: memory error: out of bound pointer
KLEE: NOTE: now ignoring this error at this location
KLEE: done: total instructions = 6334861
KLEE: done: completed paths = 7692
KLEE: done: generated tests = 22

On startup, KLEE prints the directory used to store output (in this case klee-out-1). By default klee will use the first free klee-out-N directory and also create a klee-last symlink which will point to the most recent created directory. You can specify a directory to use for outputs using the -output-dir=path command line argument.

While KLEE is running, it will print status messages for “important” events, for example when it finds an error in the program. In this case, KLEE detected to invalid memory accesses on lines 23 and 25 of our test program. We’ll look more at this in a moment.

Finally, when KLEE finishes execution it prints out a few statistics about the run. Here we see that KLEE executed a total of ~6 million instructions, explored 7,692 paths, and generated 22 test cases.

Note that many realistic programs have an infinite (or extremely large) number of paths through them, and it is common that KLEE will not terminate. By default KLEE will run until the user presses Control-C (i.e. klee gets a SIGINT), but there are additional options to limit KLEE’s runtime and memory usage:

KLEE error reports

When KLEE detects an error in the program being executed it will generate a test case which exhibits the error, and write some additional information about the error into a file testN.TYPE.err, where N is the test case number, and TYPE identifies the kind of error. Some types of errors KLEE detects include:

KLEE will print a message to the console when it detects an error, in the test run above we can see that KLEE detected two memory errors. For all program errors, KLEE will write a simple backtrace into the .err file. This is what one of the errors above looks like:

Error: memory error: out of bound pointer
File: .../klee/examples/regexp/Regexp.c
Line: 23
  #0 00000146 in matchhere (re=14816471, text=14815301) at .../klee/examples/regexp/Regexp.c:23
  #1 00000074 in matchstar (c, re=14816471, text=14815301) at .../klee/examples/regexp/Regexp.c:16
  #2 00000172 in matchhere (re=14816469, text=14815301) at .../klee/examples/regexp/Regexp.c:26
  #3 00000074 in matchstar (c, re=14816469, text=14815301) at .../klee/examples/regexp/Regexp.c:16
  #4 00000172 in matchhere (re=14816467, text=14815301) at .../klee/examples/regexp/Regexp.c:26
  #5 00000074 in matchstar (c, re=14816467, text=14815301) at .../klee/examples/regexp/Regexp.c:16
  #6 00000172 in matchhere (re=14816465, text=14815301) at .../klee/examples/regexp/Regexp.c:26
  #7 00000231 in matchhere (re=14816464, text=14815300) at .../klee/examples/regexp/Regexp.c:30
  #8 00000280 in match (re=14816464, text=14815296) at .../klee/examples/regexp/Regexp.c:38
  #9 00000327 in main () at .../klee/examples/regexp/Regexp.c:59
  address: 14816471
  next: object at 14816624 of size 4
  prev: object at 14816464 of size 7

Each line of the backtrace lists the frame number, the instruction line (this is the line number in the assembly.ll file found along with the run output), the function and arguments (including values for the concrete parameters), and the source information.

Particular error reports may also include additional information. For memory errors, KLEE will show the invalid address, and what objects are on the heap both before and after that address. In this case, we can see that the address happens to be exactly one byte past the end of the previous object.

Changing the test harness

The reason KLEE is finding memory errors in this program isn’t because the regular expression functions have a bug, rather it indicates a problem in our test driver. The problem is that we are making the input regular expression buffer completely symbolic, but the match function expects it to be a null terminated string. Let’s look at two ways we can fix this.

The simplest way to fix this problem is to store ‘\0’ at the end of the buffer, after making it symbolic. This makes our driver look like this:

int main() {
  // The input regular expression.
  char re[SIZE];
  // Make the input symbolic. 
  klee_make_symbolic(re, sizeof re, "re");
  re[SIZE - 1] = '\0';

  // Try to match against a constant string "hello".
  match(re, "hello");

  return 0;

Making a buffer symbolic just initializes the contents to refer to symbolic variables, we are still free to modify the memory as we wish. If you recompile and run klee on this test program, the memory errors should now be gone.

Another way to accomplish the same effect is to use the klee_assume intrinsic function. klee_assume takes a single argument (an unsigned integer) which generally should some kind of conditional expression, and “assumes” that expression to be true on the current path (if that can never happen, i.e. the expression is provably false, KLEE will report an error).

We can use klee_assume to cause KLEE to only explore states where the string is null terminated by writing the driver like this:

int main() {
  // The input regular expression.
  char re[SIZE];
  // Make the input symbolic. 
  klee_make_symbolic(re, sizeof re, "re");
  klee_assume(re[SIZE - 1] == '\0');

  // Try to match against a constant string "hello".
  match(re, "hello");

  return 0;

In this particular example, both solutions work fine, but in general klee_assume is more flexible:

NOTE: One important caveat when using klee_assume with multiple conditions; remember that boolean conditionals like '&&' and '||' may be compiled into code which branches before computing the result of the expression. In such situations KLEE will branch the process before it reaches the call to klee_assume, which may result in exploring unnecessary additional states. For this reason it is good to use as simple expressions as possible to klee_assume (for example splitting a single call into multiple ones), and to use the '&' and '|' operators instead of the short-circuiting ones.