Search Results for "file order randomizer mac"

A super-agent driven library for testing node.js HTTP servers using a fluent API. The motivation with this module is to provide a high-level abstraction for testing HTTP, while still allowing you to drop down to the lower-level API provided by superagent. Install SuperTest as an npm module and save it to your package.json file as a development dependency. You may pass an http.Server, or a Function to request(), if the server is not already listening for connections then it is bound to an...

Drill is an HTTP load-testing application written in Rust. The main goal for this project is to build a really lightweight tool as an alternative to other that require JVM and other stuff. You can write benchmark files, in YAML format, describing all the stuff you want to test. It was inspired by Ansible syntax because it is really easy to use and extend. As you can see, you can play with interpolations in different ways. This will let you specify a benchmark with different requests and...

JUnit is a simple framework to write repeatable tests. It is an instance of the xUnit architecture for unit testing frameworks. You need to have a JDK installed and a text editor. (In general it is recommended to use a build tool for building your software and running the tests.). JUnit features include assertions for testing expected results, test fixtures for sharing common test data, test runners for running tests. JUnit was originally written by Erich Gamma and Kent Beck. JUnit is Open...

Fastest stands for 'Fast Automated Software test'. * This is a compilation of various open source tools complemented with a set of useful programs that help a Software Test Engineer perform the test automation with ease. * It can be envisioned as a toolkit that every test engineer would need! * Currently implemented in Java * Test Automation is not just about writing test cases in a particular programming language. There are a lot more activities that need to be accomplished in...

The csvdatamix project aims to randomize CSV input data files in order to conceal the original state of the data. Similar to data masking or data transformation. Also has mapping abilities to translate back to the original state of the data.