Madcow 2.0 - Advanced Test Automation
Madcow Version 2.0 is the premier test automation tool designed to make your life easier. Developers love it. Testers can actually use it. Madcow is a domain specific language which helps to make it easier to test web browser based applications. You don't need to be a programmer to use it! Testers can write and organise their test cases the way the want to. It runs in the JVM as it is built using Groovy, and utilises the respected Webdriver framework. Check it out today! Please note: All Madcow 2.0 releases are housed here. For code and all issues please see github repository https://github.com/4impact/madcow/
Database Replication Benchmark and Test Tool
The objective of this project is to provide an open source database replication software benchmark and testing tool. It is very difficult in database replication projects to estimate necessary network bandwidth, CPU usage, memory and disk usage, etc. This project will help compare different database replication options and can be used as a capacity plan tool for database replication projects.
C++ Benchmarking Library
This project is now maintained at GitHub: https://github.com/DigitalInBlue/Celero Celero is a cross-platform open source C++ benchmarking library. Written with an API similar to Google Test, Celero utilizes C++11 features, offers tested benchmarking capabilities with microsecond precision, baselining, fixtures, and easy test setup. Use the baseline feature to measure/benchmark algorithm performance against a known case to more accurately rate performance of solutions.
In order to assure software performance, software needs to be tested accordingly as early as possible - only weaknesses diagnosed early can be assessed quickly and cheaply. ContiPerf enables performance testing already in early development phases and in an easy-to-learn manner: A developer writes a performance test in form of a JUnit 4 test case and adds performance test execution settings as well as performance requirements in form of Java annotations. When JUnit is invoked by an IDE, build script or build server, ContiPerf activates, performs the tests and creates an HTML report. The report provides a detailed overview of execution, requirements and measurements, even providing a latency distribution chart. A large feature set for execution settings and performance requirements is available, e.g. Ramp up, warm up, individual pause timing, concurrent exection of test groups and more.