PyModel-0.9, an open-source model-based testing framework in Python, has been released. Code, documents, and downloads are available:
http://staff.washington.edu/jon/pymodel/www/ http://pypi.python.org/pypi/PyModel https://github.com/jon-jacky/PyModel Version 0.9 adds new functionality, new samples, and some changes to internals to be more consistent with recommended Python style and programming practices. For details see see pymodel/notes/release-0.9.txt at the above site. Version 0.85 was announced here in March 2010. There will be talk on PyModel at SciPy 2011 on Wednesday, July 13 in Austin, Texas: http://conference.scipy.org/scipy2011/ ------- 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 FSM. - 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. -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/