Search Results for "linux software development" - Page 4
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Showing 87 open source projects for "linux software development"
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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
1. What is torque Torque is automation testing tool which is used for C and C++ application in Linux platform. It covers major testing areas such as Unit Testing, Functional Testing and Regression Testing. Two major sections of the testing area like memory management and code coverage is accomplished by open source tools, such as, • Valgrind -- Memory Management • Lcov -- Code Coverage • splint -- Static Code Analysis 2. Supported Platform • Linux operating... -
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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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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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A set of scripts, based around doctest, for performing regression testing & code coverage analysis on Python modules.
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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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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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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.
