|| ||Jon Jacky <jon.p.jacky-AT-gmail.com> |
|| ||comp-lang-python-announce-AT-moderators.isc.org |
|| ||PyModel 0.8: Model-based testing in Python |
|| ||Thu, 28 Jan 2010 20:59:10 -0800 (PST)|
|| ||Article, Thread
PyModel is an open-source model-based testing framework in Python.
Code, documents, and downloads are available:
In unit testing, the programmer codes the test cases, and also codes
assertions that check whether each test case passed. In model-based
testing, the programmer codes a "model" that generates as many test
cases as desired and also acts as the oracle that checks the cases.
PyModel supports on-the-fly testing, which can generate indefinitely
long nonrepeating tests as the test run executes. PyModel can focus
test cases on scenarios of interest by composition, a versatile
technique that combines models by synchronizing shared actions and
interleaving unshared actions. PyModel can guide test coverage
according to programmable strategies coded by the programmer.
PyModel provides three programs:
- pma, pymodel analyzer: generates a finite state machine (FSM) and
computes properties by exploring a model program, FSM, test suite,
or a product of these.
- pmg, pymodel graphics: generates a file of graphic commands from an
- pmt, pymodel tester: displays traces, generates tests offline,
executes offline tests, or generates and executes tests on-the-fly.
Use pma and pmg to visualize and preview the behavior of pmt. Every
path through the graph created by pma (and drawn by pmg) is a trace
(test run) that may be generated by pmt, when pma and pmt are invoked
with the same arguments.
There will be presentation on PyModel at Northwest Python Day 2010, on
Saturday, Jan 30, in Seattle:
Support the Python Software Foundation:
to post comments)