Tool for automated input generation, useful for bounded exhaustive testing and the generation of complex data structures for test inputs.
inputgen is a Python package that provides automated input generation, useful for bounded exhaustive testing and the generation of complex data structures for test inputs.
This tool was originally created as a class project—Verification and Validation of Software with professor Sarfraz Khurshid—and is largely modeled after Korat and its related research. Korat is an input generation tool for Java programs.
Official documentation, other than this readme, is currently lacking; however, the associated class paper provides a detailed description the implementation and related research.
Uses multiple processes to speed input generation.
Search space pruning:
Backtracking - The generated objects are instrumented to record the order of their field accesses, which occurs while checking the well-formedness of their structure in the defined predicate. Upon rejection of an input combination, alternative values are first tried on the last-accessed field(s).
This feature is enabled by default, and can be disabled by setting enable_backtracking=False when instantiating a Factory object.
Non-isomorphic generation - Only objects with unique structure are generated. Two inputs are isomorphic, or identical in structure, if their object graphs reachable from the root object are isomorphic.
For example, if building a binary tree of size two, using five possible node objects, then there are only two possible valid, non-isomorphic structures—a root node and left child, or a root node and right child.
This feature is enabled by default, and can be disabled by setting enable_iso_breaking=False when instantiating a Factory object.
inputgen requires Python 2.5 or later. If using Python 2.6, inputgen will install and make use of the stand-alone ordereddict package. If using Python 2.5, inputgen will additionally install and make use of the stand-alone multiprocessing package.
To install inputgen and required dependencies, run:
pip install inputgen
The source can be found here: https://bitbucket.org/gdub/python-inputgen/
Below is a simple example. For more examples, see the inputgen/examples/ directory.
Given the following code:
import inputgen class SquareTest(inputgen.TestCase): @staticmethod def repOK(factory): return True @staticmethod def fin(min=0, max=10): f = inputgen.Factory(enable_backtracking=False, enable_iso_breaking=False) f.set('number', range(min, max)) return f def run_method(self, factory): num = factory.number self.assertEqual(num * num, num ** 2) if __name__ == "__main__": import unittest unittest.main()
Save the code to a file named square.py and then run the unit test:
When run, inputgen will generate all possible combinations of the finitized fields. In the example above this will produce ten combinations, with a single field (number) ranging from 0 to 9.