Open Source BSD Software Testing Tools

THIS PROJECT HAS NOW MOVED TO GITHUB: https://github.com/arenhag/BizUnitCompare BizUnitCompare enables you to easily compare the actual result of your integrations with an expected result. It differs from the XPathValidationStep in that it allows you to define what to exclude rather than have to define everything to include.

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.

This repository collects concise flash cards that cover the core ideas of a traditional computer science curriculum with a focus on interview readiness. The cards distill topics like time and space complexity, classic data structures, algorithmic paradigms, operating systems, networking, and databases into short, testable prompts. They are designed for spaced-repetition style study so you can cycle frequently through fundamentals until recall feels automatic. Many cards point at canonical definitions or contrasts (e.g., stack vs. queue, BFS vs. DFS) to strengthen conceptual boundaries. The material favors clarity and breadth over exhaustive proofs, making it ideal for quick refreshers during a study plan. It complements longer resources by giving you a lightweight way to keep key concepts top of mind.

Curl External Library -- a Curl Open Source project. This project contains libraries for use with the Curl platform

A test framework for penetration testing Java classes and methods with randomized parameters and testing the results.

Java library to parse GNU Makefiles. The source code is available from SVN. The latest revision should be in trunk, the latest "stable" release should be in branch.

Parameterized Unit Test Framework is an open-sourced PUT library for JUnit 4. This project is developed in my spare time and currently updated actively. Core features: 1. Separation of test data from test code 2. Annotation support 3. Automated test parameter injection 4. Dedicated test runner

A very easy-to-use, but powerful unit testing suite for Pascal (FreePascal, Turbo Pascal, et al), conforming to the "Test-Anything Protocol" (TAP) specification used by Perl. Text-based, so it should work on any platform with few to no dependencies.

A collection of library code and tools for application execution profiling and performance testing. You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format.

Ruby library giving a simple way to pilot an external process' stdin, stdout and stderr in real time. Very useful for interactive processes testing or automation.

This project provides data binding from various data sources to TestNG test method parameters. Currently implemented is the binding from CSV, Properties, Text and XML files. Supported are test input parameters as well as test output parameters. Binding is provided for all primitive Java data types including Strings, lists of those, Java Beans, lists of Java Beans and enums. As the framework is plugin based support for new data sources can easily be added by implementing a new plugin. Please see the JavaDoc accessible on the project's website for detailed information. Please see the wiki for the maven coordinates if you want to add the TestNG Data Binding framework as a dependency to your maven project.

Testcontainers is an open source library for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container. No more need for mocks or complicated environment configurations. Define your test dependencies as code, then simply run your tests and containers will be created and then deleted. With support for many languages and testing frameworks, all you need is Docker. Use a containerized instance of your database to test your data access layer code for complete compatibility, without requiring a complex setup on developer machines. Trust that your tests will always start with a known state. Use containerized web browsers, compatible with Selenium, to run automated UI tests. Each test gets a fresh, clean instance of the browser, without having to worry about variations in plugins or required updates.

Framework to simplify the task of writing and executing threads in Java. Developer writes a Callable with annotations. The executor returns an extended Future with built-in support for cancelling, pausing, calculating progress, and much more.

A simple C++ logging system. It is modeled loosely after log4j.

Beet adds user behavior and performance tracking to a Spring-based Java app. HTTP requests, method calls, and SQL statements are tracked and associated to user and session. includes XML, binary XML, and JDBC loggers. See http://beet.sourceforge.net.

Middleware with a high level of abstraction of the graphic system, or intended to embedded systems that require graphics acceleration but dont have hardware for this.

Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments. The target is to provide general development, test, and production support of software environments based on multiple programming languages for distributed multicore environments.