Search Results for "user acceptance testing" - Page 2
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Showing 34 open source projects for "user acceptance testing"
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Artifical World simulator, it simulate virtual 3D world and execute IA programs. It have API for programming IAs in C++. it use Irrlicht as 3D engine.
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Xcarecrows4MDA provides a complete toolset to build models and check their behavior for standalone applications or whole systems with a hierarchical, state driven approach. A test component checks the safety of the model under various situations.
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The Distributed Real-time Embedded Analysis Method (DREAM) is a tool and method for the real-time verification and performance estimation of distributed real-time embedded (DRE) systems. Publications: http://www.ics.uci.edu/~gabe/publications.html.
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The Collaborative Testing System (CTS) tests parallel software using various implementations of MPI. It works on multiple platforms and supports batch systems including LSF, LCRM and workstations without a batch system. It includes a numerical diff tool.
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YABI93 is an Interpreter for the esoteric programming language Befunge, version "Befunge93". It is written in Java 1.5 and uses Swing for its graphical interface. YABI supports a multilanguage GUI.
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Q++ is a cross platform C++ template library used for simulating quantum computation. Its purpose is to allow testing of quantum algorithms by providing a quicker way to create programs compiled for speed.
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Simulator for large neuronal networks using leaky INF as its basic element. Simple few line scripts will enable rapid creation of large networks with different connectivities. Aimed at researchers interested in quickly testing large networks of neurons.
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SeSAm (Shell for Simulated Agent Systems) provides a generic environment for modelling and experimenting with agent-based simulation with a special focus on the easy construction of complex models including dynamic interdependencies or emergent behaviour
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KInvestSim is an investment simulator for KDE4. It provides facilities for manipulating price and indicator data, writing and testing timing strategies, managing simulated portfolios, and measuring the performance of the simulated portfolios.
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