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QTest is a perl-based test framework for testing programs written in any language. It supports a "design for testability" mentality, user-defined test coverage, filters, and multithreading support. Includes documentation.
A subset of the TestCon project, ConAn builds on Roast to provide a testing framework for concurrent Java components. For more details on the development of ConAn and TestCon/Crom, see http://longbrothers.net/brad/papers/thesis.pdf
SIGAR (System Information Gatherer and Reporter) is a cross-platform, cross-language library and command-line tool for accessing operating system and hardware level information in Java, Perl and .NET.
The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.
MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
A collection of open-source build and release tools, useful for creating and configuring software development, release, and QA production infrastructures.
"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.
EPerl, or Embedded Perl, is a basic call-level interface that supports calling Perl subroutines or evaluating Perl code blocks from Java 5 and .NET 2.0. ActivePerl 5.8.8 (or later) for Windows is required. See unit tests (browse CVS online) for examples.
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SLIME (Scream LInux Middleware for Embedded systems) is a tiny and efficient cross-platform embedded middleware as a shared library with tools, which supports CBSD (component-based software development) to build application softwares quickly and easily.
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.