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Visual Paradigm for UML is an easy-to-use UML modeling tool that supports the latest UML notation (class diagram, use case diagram, sequence diagram, communication diagram, statechart diagram, activity diagram, component diagram, deployment diagram).

Visual Paradigm for UML is a UML tool that runs on the most popular IDE including Visual Studio .NET, IntelliJ IDEA, Eclipse, NetBeans, Sun ONE, Borland JBuilder, IBM WebSphere, etc. +reverse engineering +code generation +import Rational, plugin...

Visual Paradigm for UML is an easy-to-use UML tool that supports reverse engineering (code to model), code generation (models to code), import Rational Rose, export/import XMI, report generator, MS Visio integration, version control, plug-in, etc.

Visual Paradigm for UML is a UML modelling tool that supports full software lifecycle - OO analysis, OO design, coding, testing and deployment. VP-UML supports round-trip, reverse engineering, code generation, import XMI, Rational Rose, plugin, etc.

Visual Paradigm for UML is an easy-to-use UML modeling software that supports OOAD (OOA, OOD). VP-UML supports round-trip, reverse engineering, real-time code generation, import Rational Rose, XMI, report generator, MS Visio integration, plugin, etc.

WAP Upload software helps people whose mobile phones do not have IrDA, cable, or Bluetooth interfaces to make their phones special. It allows you to upload games, music, MIDI, MP3, graphics, video and themes to the phone via WAP.

This EJB Suite offers refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable.

EJB collection containing refined procedures for solving sensitivity analysis on uni and multi dimensional, local or global optimization problems. Specialized Linear programming algorithms based on the Simplex Algorithm and duality, are included.

EJB Suite offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression