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CETI (Correcting Errors using Test-input) is an automatic program repair technique that uses test-input generation to repair C programs. The idea is to convert the buggy program/test suite specification into another program consisting of a location reachable iff the buggy program can be repair to pass the given test suite.

Setup

The source code of CETI is released under the BSD license and can be obtained using the command

git clone https://github.com/unsat/ceti.git

CETI uses Ocaml/CIL to parse and operate over C programs, and Python to invoke the test-input generator KLEE. CETI has been tested using the following setup:

  • Tested on Debian Linux 7 and 8 NOTE: make sure /bin/sh is bash instead of dash (use dpkg-reconfigure dash to switch)
  • Python 2.7
  • Ocaml 3.12.1: apt-get install ocaml-core
  • CIL 1.7.3
  • An installed KLEE version

Installing KLEE and CIL

For KLEE, consult its build page.
For CIL, download cil-1.7.3 and do a ./configure; make.

Building CETI

First, make sure that klee can be called, .e.g., klee --help should produce some usage information.

Now, go to path/to/ceti/src. Edit the Makefile so that it contains something like this

OCAML_OPTIONS = \
-I /PATH/TO/cil-1.7.3/_build/src/\
-I /PATH/TO/cil-1.7.3/_build/src/ext/\
-I /PATH/TO/cil-1.7.3/_build/src/frontc/\
-I /PATH/TO/cil-1.7.3/_build/ocamlutil/\

Now type make clean; make to compile ceti.

Usage

Here are some usage examples of CETI.

Given the buggy C program /PATH/TO/ceti/examples/bugfix/p.tcas100.c

#!c

  if(inhibit) {bias = up_sep} ; //bug, should be up_sep + 100                                             
  else {bias = up_sep;}
  if (bias > down_sep) return 1;
  else return 0;
}

int mainQ(int inhibit, int up_sep, int down_sep){
  return buggyQ(inhibit, up_sep, down_sep);
}

int main(int argc, char* argv[]){
  printf("%d\n",mainQ(atoi(argv[1]), atoi(argv[2]),atoi(argv[3])));
  return 0;
}

that when given the inputs /PATH/TO/ceti/examples/bugfix/p.inputs

#!

1  0 100
1 11 110
0 100 50
1 -20 60
0  0 10
0 0 -10

does not produce the expected outputs /PATH/TO/ceti/examples/bugfix/p.outputs

#!

0 
1 
1 
1 
0
1

We call ceti to create a new program that produces these expected outputs when given the above inputs

$ ./ceti ../examples/bugfix/p.tcas100.c ../examples/bugfix/p.inputs ../examples/bugfix/p.outputs

#lots of msgs detailing CETI's runs

0. /tmp/CETI_789b61/p.tcas100.c.s1.t1_z1_c1.tf.c: bias = up_sep; ===> bias = uk_0 + uk_1 * up_sep; ===> uk_0 100, uk_1 1

The last line indicates that CETI creates a program that passes the in/outputs by changing the statement bias = up_sep; to bias = 100 + up_sep;.

Experimentations

Reproducing experiments for the Tcas program

  • the C file must have a mainQ function, see e.g., in tests/tcas/orig

  • preprocess file with CIL

#!shell

$ for i in {1..41} do cilly bug$i.c --save-temps --noPrintLn --useLogicalOperators ; done

  • run program (e.g., on our 32-core machine)
$ for i in {1..41}; do  rm -rf /tmp/CETI_* &> t; echo "***** BEGIN $i *******"; time ./ceti ../benchmarks/tcas/orig/bug
$i.cil.i ../benchmarks/tcas/tcas.orig.inputs ../benchmarks/tcas/tcas.orig.outputs --top_n_sids 80 --min_sscore 0.01;  echo "****** DONE $i ******"; done                                                                          

#output and time are logged in `tcas.log`

Trips and Tricks

Sometimes it is useful to preprocess input source code with CIL. For examples

#!shell

$ cilly file.c --save-temps --noPrintLn --useLogicalOperators   #now call CETI on the resulting file.c.cil.i

$ cilly file.c --save-temps --noPrintLn --noUseLogicalOperators   #This breaks and and or operator into multiple statements

Publications

Additional information on CETI can be found from these papers

  • ThanhVu Nguyen, Deepak Kapur, Westley Weimer, and Stephanie Forrest. Connecting Program Synthesis and Reachability: Automatic Program Repair using Test-Input Generation. In Tools and Algorithms for the Construction and Analysis of Systems (TACAS), pages 301--318. Springer, 2017.

  • Automating Program Verification and Repair Using Invariant Analysis and Test-input Generation Nguyen, T. Ph.D. Thesis, University of New Mexico, August 2014.