These files are containing the class string utils

A Robot Framework test library for Swing UI testing

Sample applications to demonstrate the usage of various TrueZIP module APIs. Some of these samples use rather advanced or exotic features which makes them more complex than necessary for a typical application. By design, the sample applications use all file system drivers which can be located at runtime. Location of the available file system drivers is performed by scanning the class path - see the Javaodoc for the TrueZIP Kernel class de.schlichtherle.truezip.fs.sl.FsDriverLocator for more information.

Sample applications to demonstrate the usage of various TrueZIP module APIs. Some of these samples use rather advanced or exotic features which makes them more complex than necessary for a typical application. By design, the sample applications use all file system drivers which can be located at runtime. Location of the available file system drivers is performed by scanning the class path - see the Javaodoc for the TrueZIP Kernel class de.schlichtherle.truezip.fs.sl.FsDriverLocator for more information.

Assembles the Mule core, modules, and transports into a single library (jar). This is useful for embedding Mule into an existing project.

Sample applications to demonstrate the usage of various TrueZIP module APIs. Some of these samples use rather advanced or exotic features which makes them more complex than necessary for a typical application. By design, the sample applications use all file system drivers which can be located at runtime. Location of the available file system drivers is performed by scanning the class path - see the Javaodoc for the TrueZIP Kernel class de.schlichtherle.truezip.fs.sl.FsDriverLocator for more information.

Standalone Camel Web

Simulation for Heterogeneous and Autonomic Networks with MASON. "Shanks with MASON" is a framework to simulate different network scenarios in order to add autonomic capabilities using MASON simulation framework. To achieve this goal, a multi-agent system (MAS) is used to handle possible situations in the scenario. These agents are able to analyse environment data, perform inference and self-healing actions, etc.