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Collaborative editor, requirements management tool and much more
ARREA (A Reasonable Requirements Engineering Application) is a simple yet powerful requirements management tool that uses arbitrary files to store information and Subversion to allow team collaboration.
Its simple conventions make it suitable for much other purposes. In fact, for any document-oriented tasks focused on collaborative work and exhaustive change and traceability management.
At its heart, ARREA provides a thin layer on top of SVN that allows it to be used as a powerful...
The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu).
NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.
Highly Object Oriented Language This is an attempt to develop a new third generation general purpose programming language for x86 and x86_64 processor which tries to integrate maximum possible object oriented concepts.
A command-line Python utility to mine information on open source projects using the ohloh web service APIs. The script is enables analysis of open source projects indexed by ohloh by providing source lines of code (SLOC), contributor data and other info.
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1. Create an object-oriented python script that can represent mathematical concepts and their properties. 2. Represent all numeric values exactly. 3. Provide a variety of formats to export or embed representations of the mathematical concepts.
CodeIgor makes copies of given files, substituting user-defined patterns for given values. Every copy is related to a scpecific 'solution', so that you may define different versions of the same file, having the same patterns but different values.
TMT is a test management harness designed to manage hands-off execution, monitoring and result logging of test cases. The tool is scalable and portable, uses xml as a means to describe the test cases, monitor and manage the way the tests are run.
Software Defined Radio Transceiver project is written in Python while using GNU Radio and USRP. The goal is to create a software HF transceiver with various modes. Go here for more info: http://apps.sourceforge.net/mediawiki/sdr/index.php?title=Main_Page
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CMGlue (Configuration Management Glue) is a better git-submodule, to manage a workspace which may contains multiple components that may from various version control tools such as Git and SVN (Subversion), or even just from a shared folder.
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.
Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks.
rIDE is an IDE aimed at beginners, meant for use mainly in classrooms. It supports C++, Python, Prolog, Lisp, Whitespace, and LOLCODE, with syntax highlighting and quick-compile for each.
"Yet Another Do-It-Yourself (Test) Automation Framework" specification. Use or modify one of the existing software implementations (hosted/referenced here), or implement the framework yourself. Download and read the spec for more details.
A compact compiled templating language in Python which implements just about the features of TAL, METAL together with Zope's i18n extensions and whose aims are simplicity, full test coverage and complete documentation.
Our goal is to develop a full working solver for ATA (with 1 clock) in Python, with MTL to ATA support. The decidability for the emptiness problem was proposed by Lasota and Walukiewicz. The MTL to ATA was proposed by Ouaknine and Worrell.
NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.
This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
The project contains algorithms for locating the most central groups in complex networks. In particular implementations of various centrality measures and heuristic search algorithms. All functionality is exposed via XML-RPC for easier exploitation.