Open Source Java Software Testing Tools - Page 21

Java Software Testing Tools

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Browse free open source Java Software Testing Tools and projects below. Use the toggles on the left to filter open source Java Software Testing Tools by OS, license, language, programming language, and project status.

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  • 1
    Bug Tracker Tool written in Java EE. Friendly user interface, management of bugs, dynamic bug states, multiple users, user groups and projects.
    Downloads: 0 This Week
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  • 2
    Open Soa Test is a OSGI based test tool to create complex test scenarios. The main objective of this tool is to create a collaboration platform to share test bundles. Test bundle is a piece of test software that we can share like an Eclipse plug-in.
    Downloads: 0 This Week
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  • 3
    Open Source Application Server Appliance based on Open Source GlassFish
    Downloads: 0 This Week
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  • 4
    The OpenPC^2 project aims to develop a free, easy-to-use, and flexible programming contest control system. Our goal is to provide an open-source implementation of PC^2 and help people to hold programming contests like ACM/ICPC.
    Downloads: 0 This Week
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  • 5
    Free Java monitoring library to easily instrument apps to measure performance detail over time with minimal overhead. Has dashboard, SVG graphs. Extends Jamon and its statistical data, same usage. http://www.e-peas.com/opensla/. JMX, SNMP planned.
    Downloads: 0 This Week
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  • 6
    A little tool writen in java to trace the execution plan for a given database query. It works with Oracle 10g or higher and uses the JGoodies look and feel. You need to provide the Oracle.com JDBC-Driver and the JGoodies.org looks look and feel. Source is now located at Github https://github.com/mgeiss/oraxtra.
    Downloads: 0 This Week
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  • 7
    Development of traces for VDM. A trace statement is used to enhance a VDM models quality by providing an easy way to describe statements used to perform regression testing on the model. This project is related to the OvertureTool project.
    Downloads: 0 This Week
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  • 8
    Measure how directly your classes are tested by JUnit. Unlike traditional code coverage tools, PEA considers and measures whether the code covered ran as a direct call from a test, or indirectly via chained calls.
    Downloads: 0 This Week
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  • 9
    PGUIRobot is a very easy to use automated tool for functional and GUI testing Java programs, which can also be used for making canned demonstrations by event and screen capture.
    Downloads: 0 This Week
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  • 10
    PROCOL space-based framework for multi-core. Based on LighTS (http://lights.sourceforge.net/). More to come soon ...
    Downloads: 0 This Week
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  • 11
    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.
    Downloads: 0 This Week
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  • 12
    PTestUnt is a unit based framework for testing web application vulnerabiltites. Requires ANT, JUnit and HttpUnit.
    Downloads: 0 This Week
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  • 13
    ParTeG (PARtition TEst Generator) handles UML state machines, UML class diagrams and their OCL expressions. The OCL expressions are evaluated to find input parameter partitions. The boundaries of these partitions are used to generate test cases.
    Downloads: 0 This Week
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  • 14
    This is an academic project; the main objective is to generate an algorithm to parallelize a CNF formula and then feed the distributed parts to sequential SAT solvers, for this project we have choose to use Sat4J as the solver.
    Downloads: 0 This Week
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  • 15

    Parameterized Unit Test Framework

    PUT extension for JUnit 4

    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
    Downloads: 0 This Week
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  • 16
    Patang is a framework for testing server-side code. Patang intends to simplify writing acceptance and unit integration tests for server-side code. It implements an in-container testing strategy, meaning that the tests are executed inside the container.
    Downloads: 0 This Week
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  • 17
    Pattern Sandbox is a small utility for visually testing and practicing regular expressions by highlighting matching text. It specifically uses the java.util.regex library which has a similar syntax to Perl5 regular expressions.
    Downloads: 0 This Week
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  • 18
    Pattern Testing
    Pattern Testing : A new type of automated testing that ensures that development patterns, best practices, architecture design are being correctly implemented.
    Downloads: 0 This Week
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  • 19
    Pepper is a tool for Spreadsheet-driven Automated Lifecycle Testing
    Downloads: 0 This Week
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  • 20
    Perftest is an library designed to work with JUnit and other unit testing libraries to facilitate performance testing. It includes decorators which allow for timed tests, load tests, stress testing as well as logging and reporting.
    Downloads: 0 This Week
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  • 21
    Random-symbolic constraint solver
    Downloads: 0 This Week
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  • 22

    Picvert

    Extensible black box test automation tool

    Extensible black box test automation tool
    Downloads: 0 This Week
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  • 23

    Picvert-gui-fx

    Java GUI for Picvert

    Downloads: 0 This Week
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  • 24
    This project provides a distributed testing environment that extends JUnit. Giving the developer/tester an ability to run remote JUnits and create complex test suites that are composed of several remote JUnit tests running in parallel or serially.
    Downloads: 0 This Week
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  • 25
    Pitest

    Pitest

    State of the art mutation testing system for the JVM

    PIT is a state of the art mutation testing system, providing gold standard test coverage for Java and the jvm. It's fast, scalable and integrates with modern test and build tooling. Faults (or mutations) are automatically seeded into your code, then your tests are run. If your tests fail then the mutation is killed, if your tests pass then the mutation lived. As it is actually able to detect whether each statement is meaningfully tested, mutation testing is the gold standard against which all other types of coverage are measured. Traditional test coverage (i.e line, statement, branch, etc.) measures only which code is executed by your tests. It does not check that your tests are actually able to detect faults in the executed code. It is therefore only able to identify code that is definitely not tested.
    Downloads: 0 This Week
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