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Tool for search based test data generation

Project description

Search Based Test Input Generation

A Python implementation of automated test data generation.

Currently, it works only for the subset of Python functions satisfying these conditions:

  • takes only integer arguments

  • had only integer type local variables

  • contains predicates that only involve relational operators (==, !=, <, >, <=, >=), integer variables, and calls to functions with integer return type

Run from Source

If directly clone the source and run package, run below command on project root directory.

python -m covgen <file>

Additional options can be given (you can remain it as default value):

--function (-f) <target_function_name> 

--method (-m) <avm or hillclimbing> 

--retry-count (-r) <retry count> 

--int-min <minimum value of initial arguments for heuristic methods> 

--int-max <maximum value of initial arguments for heuristic methods>

For example:

python -m covgen target/triangle.py -m avm --retry-count 10 --int-min 0 --int-max 1000

prints out list of generated inputs that cover detected branches, from each function defined in the target file.

Using pip

This input generator package is available on PyPI of name covgen.

After installing the dependencies:

pip install anytree
pip install astor

You can install this package with below command:

pip install covgen

Then run it anywhere with your python.

python -m covgen <target file location>

Or, you can build your own program using generated inputs.

from covgen.run.inputgenerator import InputGenerator

generator = InputGenerator('target/triangle.py', function_name='triangle')

inputs = generator.generate_all_inputs()

print(inputs['triangle'])

Project details


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