Search Results for "model based testing tool"

LLM-TLDR is a Python-based tool designed to dramatically reduce the amount of code a large language model needs to read by extracting the essential structure and context from a codebase and presenting only the most relevant parts to the model. Traditional approaches often dump entire files into a model’s context, which quickly exceeds token limits; LLM-TLDR instead indexes project structure, traces dependencies, and summarizes code in a way that preserves semantic relevance while shrinking input size by up to 95 %. ...

...The purpose of SBML2LATEX is to provide a way to read the contents of XML-based SBML files. This is helpful and important for, e.g., error detection, proofreading and model communication.

Ogles strives to provide an open source data model for neuroscientific data visualization and analytics. Ogles started out as a planning system for frame based stereotactic neurosurgery. Ogles(1) is discontinued. Release candidate (RC) is Ogles2b. Ogles is accompanied by a simple DICOM reader and NIfTI converting tool (Sdr2).

BNNS is a research tool for interactive training of artificial neural networks based on the Response Function Plots visualization method. It enables users to simulate, visualize and interact in the learning process of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like the famous two-spirals task or classification of satellite image data.

SPIDR (Space Physics Interactive Data Resource) is a distributed database and application server network, built to select, visualize and model historical space weather data. SPIDR is a web-application and a grid of data mining web-services.

Automata Based Programming Tool for implementing logic for J2SE, J2EE and Sybmian applications. Consists of Java FSM Framework and Eclipse Plugin parts. Plugin implements UML model editor, visual debugger, validator, compiler and interpreter for Eclipse

GParticles is a tool to simulate the growth behaviour of two- and three-dimensional nano particles based on a simple grid model, with adjustable (time-dependent) concentrations of the particle's different components.