Open Source Python QA Automation Software - Page 2

Gefira is an umbrella project for various opensource-related projects, usually backend or middleware oriented.

A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.

Gathering requirements should be fun. It's the brainstorming process refined. It shouldn't get in the way of productivity or creativity. Harvest is about gathering requirements in the most intuitive, least intrusive way possible.

Sadly JFCUnit is no longer supported but idea is neat and with a few more improvements it can be even more useful tool for regression testing. JFCUnit-2 will have distributed testing, SWT support, JUnit independent and lots of other improvements.

Java exception extractor. This utility will parse all files (either plain text or bzipped) and tries to search for various exceptions. It then tries to match exceptions against grouping rules (regexps). It is also able to group unrecognised exceptions.

Design by Contract allows a programmer to document a function/class with statements describing behavior. Metacontract implements the PEP-0316 related to this feature for the Python language using meta classes.

MTCC (Model-Driven Test Case Construction) in an approach to the construction of acceptance tests by domain experts for testing system families based on feature models. MTCC is applied to the application domain of Digital Libraries.

Open Source Application Server Appliance based on Open Source GlassFish

This package will allow people to check, change, update the license of their projects. It will conform to all new licenses available.

PyAnalyzer performs source code analysis for Python code based on the standard python 'compiler' package. -- Acknowledgement: EU Funded FP6 QualOSS Project (see http://www.qualoss.eu).

PyMetrics produces metrics for Python programs. Metrics include McCabe's Cyclomatic Complexity metric, LoC, %Comments, etc. Users can also define their own metrics using data from PyMetrics. PyMetrics optionally outputs stdout, SQL command files and CSV

Python Regression Tester - A framework for automated regression hunts to determine which changeset introduced a given problem.

PySys is a Python based framework for the organisation and execution of system level automated and manual testcases. PROJECT MOVED: As of April 2019, PySys has moved to GitHub and is no longer maintained on SourceForge, so for the development project go to https://github.com/pysys-test/pysys-test or for end-users of PySys go to https://pypi.org/project/PySys/

PyUnitGui is UnitTest GUI framework for Python programs. NUnit-like look with tests tree hierarchy and with console output window too. Writtem in wxPython it aims to be is as portable as Python and wxPython together are.

Python Automation Suite - a collection of Python programs/modules that forms an integrated Software Test Automation

Addressing the question for variable variables in python (i.e. variables with variable names), which has been posed on stackoverflow: http://stackoverflow.com/questions/1373164/how-do-i-do-variable-variables-in-python The consensus is to use a dictionary for this. This is a good idead, however, there are many aspects arising from this: * you'll yourself be responsible for this dictionary, including garbage collection (of in-dict variables) etc. * there's no locality for variable variables, all are global within the dictionary, unless you locally define different dictionaries for this purpose * you are more flexible, e.g. you can decide to overwrite existing variables or, alternatively, to raise an exception on overwriting (e.g. for const variables) * if you want to rename a variable name, you'll have to do it manually * ... Please Find some examples in the Wiki

Provides runtime typechecking facilities for python functions, methods and generators.

Windows based editor designed to allow writing extensions covering any user format of raster fonts. Supports fixed/variable character height/width, incomplete character sets, etc. Has a lot of useful character-editing functions (italicize, bold, shift...

Lightweight requirements management tool, with export, search and traceability functions. Uses plain text files as backend.

SOURCE CODE MOVED TO https://github.com/kowalpy/Robot-Framework-FTP-Library . NEW RELEASES WILL APPEAR ONLY AT GITHUB AND PYPI. This Python library makes it possible to test or use FTP server using Robot Framework keywords. Together with the library, there are also available project example and keywords documentation created by libdoc. This sourceforge webpage is linked from http://robotframework.org/#test-libraries as external library so it can be considered as the official Robot Framework library.

SOURCE CODE MOVED TO https://github.com/kowalpy/Robot-Framework-JMeter-Library . NEW RELEASES WILL APPEAR ONLY AT GITHUB AND PYPI. The Robot Framework library which can be used for starting JMeter and/or analysing and converting JMeter log files into HTML and SQLite format.

STDL (Structured test description language) is a domain-specific testing language that is used to auto-generate unit test code. It supports a myriad of output languages (incl. C#). The project's aim is that of reducing the resources required for testing

THE STP CODE HAS MOVED TO GITHUB. THE CODE HERE IS STALE. PLEASE CHECKOUT THE FOLLOWING WEBSITE: http://stp.github.io/

SVNChecker is a framework for Subversion pre-commit hook scripts. See the new project page http://svnchecker.tigris.org/.

Professional environments focus on high development standards in Source Code Management. E.g. by usage of server side commit hooks to check for minimum acceptance levels on code and documentation quality including commit message structure and content. TortoiseSVN offers only a free form text field to edit inside the Commit Dialog. Developers might recall situations when struggling with commit message structure and fighting the server side commit hooks instead of focusing on message content! Thus being annoyed instead of feeling an incentive to deliver high quality descriptions here. The SVNStartCommitHelper is a client side start commit hook script (as a first version written in Python / Tkinter) exactly offering a well-structured form to fill in. The edited content is transformed and forwarded to the SVN commit dialog then. You still have full control on the commit message then. While using the helper you focus on message quality now instead struggling with message structure.