Search Results for "java projects on linux" - Page 2
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Showing 33 open source projects for "java projects on linux"
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SpringUnit is an open source framework for unit and integration testing of Java software. It marries Spring's Dependency Injection container with JUnit's test framework to enable data-driven testing.
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Unit test framework for PegaRULES Process Commander applications. PRUnit is based on the xUnit family of testing frameworks. PRUnit is downloaded as a Zip file that can be uploaded to your PRPC system and loaded into the rule base.
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xchecker is both a test framework for XML and XSLT, and a wrapper for an XML Schema processor that allows XML Schema documents to be augmented with xchecker. xchecker checks can be any combination of XML Schema, Relax NG, XPath 2.0, XSLT 2.0 and XQuery.
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TAF (Test Automation Framework) is an all-in-one testing framework that utilizes several open-source unit testing libraries. This comes with the most commonly used wrapper methods and a web-based GUI for reports. Easy to install and very intuitive to use.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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A generic system test framework utilizing Spring and Junit. Specialized Junit TestCases use Spring context configuration files to define test actions and action validators, allowing the TestCase to function as an integration / system test.
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Long Running Transaction Tester (LRTTester) is data-centric test framework to externalize test cases. The goal is to allow non-programmers to easily generate and run tests. Initial implementation will be written in Java and can be run on any platforms, b
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Multithreaded JUnit Test Framework. An extension to JUnit that allows classes to be tested for both thread-safety and performance.
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A test framework for penetration testing Java classes and methods with randomized parameters and testing the results.
