Search Results for "teams-for-linux" - Page 3
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Showing 69 open source projects for "teams-for-linux"
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An eclipse plugin for code coverage visualization of JUnit Tests. Especially useful for test-first development. Supported coverages include block coverage and all-uses coverage (Data Flow Analysis).
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ZK Unit extends JUnit to test your ZK project: ZUL pages, composers, event handlers, constraints and more. Use ZKUnit for test driven development, to achieve code coverage and integration with a continous build system.
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An integrated testing framework, covering test case generation, execution, bug reporting, code coverage and coding conventions. Currently This is a module suite for netbeans IDE, integrating some open source PHP Testing Tools
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Coberclipse is a eclipse plugin for Corbertura. It will instrument the classes during the build and show the code coverage after executing unit test cases.
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Unzip buildtemplate and you will have a project set up with ant/junit/verifydesign/code coverage all out of the box. It is a great way to get started and then add to the build.xml as you go. netbuildtemplate is for .net and has nant/nunit/NCover, etc.
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Codemon is a testing tool that enables code coverage of C codes. It supports the level of Decision Coverage and Condition Coverage.
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EL4Ant is a light and efficient build system based on Apache Ant. A project is described in XML as modules with transitive dependencies. Features are provided thanks to plugins: Java execution, JUnit reports, EMMA code coverage, Eclipse integration...
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Javelina is an advanced code coverage tool that uses dynamic instrumentation to minimize the overhead for collecting coverage data. Additionally, Javelina allows the application of logical operations to code coverage data.
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It is a JavaDoc and comment coverage tool. It check the quality of JavaDoc and comments in Java source files. The output is like the EMMA Java code coverage.
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BeCover is a Java code coverage tool based on source-code analysis. The main goal is to keep it small and fast, so using it as a plugin in the common IDE's can be achieved.
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This profiler (JRE 1.5.0 only) uses JVMTI and native bytecode instrumentation for the analysis of the heap, reachable objects, execution time, garbage collection efficiency, code coverage and thread contention. No preparation steps required in build.
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EMMA is a fast Java code coverage tool based on bytecode instrumentation. It differs from the existing tools by enabling coverage profiling on large scale enterprise software projects with simultaneous emphasis on fast individual development.
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torque - Automation Testing Tool
Automation unit testing tool for C & C++ on Linux platform
...Supported Platform • Linux operating system on Intel x86 architecture • Linux operating system on Intel x86_64 architecture -
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gcov-eclipse is an Eclipse plug-in that will extend CDT to provide code-coverage testing to C/C++ projects by using the gcov program. It will integrate into the CDT's launch and managed build system.
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Java Web Application Stack built on top of Wicket, Spring, Hibernate/Ibatis, Jetty, HSQLDB, Junit, functional testing (Selenium), code coverage(Cobertura), DB Migration and CI. Its intent is to provide a rapid method for creating java web new projects
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Tiria is a eclipse-plugin to view code coverage data (e.g. from cobertura) within the IDE. Main objective of the plugin is to show how the code coverage changes during project progress.
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JUnitMetrics is a tool that enables to measure basic JUnit and Cactus tests metrics (like number of tests, assertions, number of executed assertions). It is great, complementary solution to code coverage tools and mutation testers.
