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Automatic generation of test inputs to catch conversion errors between signed and unsigned integers. Valgrind plug-in that works with the STP decision procedure (downloaded separately). See http://catchconv.pbwiki.com/ for setup instructions.
Medical Datasets (In a text file, with space separated values) can be loaded to the system.
By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.
The Minervan project aims at aiding intelligent software development. It integrates reporting, analysis and data mining to support better decision making.
The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
CGI Node 2.0 is an open source solution that helps you meet your data exchange, collaboration and decision making needs. CGI Node 2.0 represents the next generation of data exchange capabilities for your business.
‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
BDD-Based Deductive Database, an implementation of Datalog that uses Binary Decision Diagrams as the underlying data structure. This allows it to represent exponentially-sized relations efficiently.
Jubjub is a decision tree based framework for automating *NIX administrative processes and reacting to events. Working well with a network monitor such as Nagios, you can expose, document, and add notifications to scripts in one step.
{sets} is a lightweight constraint programming language. The uniqueness of {sets}, is that it uses ROBDD ( Reduced Ordered Binary Decision Diagrams ) to represent and solve constraints.
ActivityScript takes an activity diagram (created with a UML tool) and executes it's contents. The content of Activity boxes are executed, the Guards of a Decision box are evaluated to control program flow and Fork boxes initiate new threads.
Clean is a program that searches for backup files and such identified by regular expressions in a ~/.cleanrc, and deletes them: possibly interactively with a per-file y/n decision, or in a batch mode. Clean is written in C and targets Unix/POSIX.
Decision Analysis is an easily-extensible expert system to help users make decisions of all types.
Written entirely in Python, Decision Analysis, at this time, contains a general decsion module, which uses a weighted average technique to evaluate use
A framework to simply understandable control flows in applications. It is easy to manage flow by XML and annotations. There are many simple ways to catch actions such as transition, step entry or leaving, including control the decision similar to 'if' or 'switch' statements.
Hayta-UML is a Web2.0 UML tool, that allows users to draw UML diagrams. A core design decision is to have a native version-control inside the application.