Search Results for "java-orm" - Page 2
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Showing 33 open source projects for "java-orm"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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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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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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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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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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SQL Spelunk
Tools For Testing SQL
A toolbox for testing SQL. Currently, SQL Spelunk includes code coverage analysis and calling stored procedures in a rolled-back transaction from SQL and JUnit. -
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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.
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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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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.
