Apache .NET Ant Library is a library of Apache Ant tasks that support development for the .NET platform. It supports Microsoft's frameworks as well as Mono. The library contains tasks to run common .NET development tools like NUnit, NAnt, or MSBuild. In addition, it contains a task to create Windows MSI installer packages using the WiX toolkit. The "old" .NET development tasks of Ant's core have found a new home here as well, and further development of those tasks will happen inside of this Ant Library.
AntUnit is a library of Ant tasks that was initially developed to write tests for Ant tasks without resorting to JUnit. It makes it easy to turn an existing build file that exhibits an error into an AntUnit test. Tests are written as targets in a build file using assertion tasks provided by AntUnit. The antunit task executes targets in a collection of build files and supports custom listeners in a manner similar to the junit task's formatters.
Bunny the Fuzzer is a closed loop, high-performance, general purpose protocol-blind fuzzer for C programs. It uses compiler-level integration to seamlessly inject precise and reliable instrumentation hooks into the traced program. These hooks enable the fuzzer to receive real-time feedback on changes to the function call path, call parameters, and return values in response to variations in input data.
Citrus is a test framework written in Java that enables automated integration testing of message-based enterprise SOA applications. The tool can easily simulate surrounding systems across various transports and protocols (e.g. JMS, SOAP WebServices, HTTP, TCP/IP, etc.) in order to perform end-to-end use case testing. Citrus provides strong validation mechanisms for XML message contents and allows you to build complex testing logic such as sending and receiving messages, database validation, automatic retries, variable definitions, dynamic message contents, error simulation, and many more.
Dummy Data Generator is a tool that generates dummy data for populating systems for testing. The data includes names, addresses, email addresses, phone numbers, and social "connections". Names are generated by using US Census data on the most common names. Email addresses are just a random string for the user portion and always use "example.com" for the domain. Currently the only output format is CSV.