Search Results for "test coverage"
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Showing 23 open source projects for "test coverage"
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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. ... -
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Jazzer
Coverage-guided, in-process fuzzing for the JVM
Jazzer is a coverage-guided, in-process fuzzer for the JVM platform developed by Code Intelligence. It is based on libFuzzer and brings many of its instrumentation-powered mutation features to the JVM. -
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Classic HWUT
Software Unit Tests (Language Independent Approach)
Automation of Unit and System Tests. Tests can be implemented in any language and on many platforms. The flexible approach enables the inclusion of many types of tests, such as memory leak checks (using valgrind), coding rule checks, complexity checks, etc. Tests are run by a simple call to hwut in a base directory of a project. In particular for C, HWUT supports make file generation using 'sos' and 'sols' modes. Remote control-able function stubs may be generated using the 'stub' mode.... -
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QTest is a perl-based test framework for testing programs written in any language. It supports a "design for testability" mentality, user-defined test coverage, filters, and multithreading support. Includes documentation.
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Advance-PCT-1.0
A novel Code transformation technique to guide test input generator
...It identifies the boolean expression and creates equivalent conditional branches with an empty body. These additional statements along with original program supplied into test executor to improve test data. It ensures that each atomic conditions have been invoked at least once true and once false. It is done to achieve higher MC/DC, because according to the definition of MC/DC it is required to achieve 100% condition coverage, which was not possible due to short-circuit evaluation by the compiler, due to which MC/DC was low and inadequate. ... -
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unitils-objectvalidation
Unitils module to test if a object respects your predefined rules.
Unitils Module - Easy way to test if the object validates all the predefined rules. -
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This project provides a meaningful way to increase code coverage of your jUnit and TestNG tests. Unit testing Java Beans can be a tedious task. The goal of this project is to provide an automated way to unit test the getters and setters of a class.
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Cobertura is a free Java tool that calculates the percentage of code accessed by tests. It can be used to identify which parts of your Java program are lacking test coverage. It is based on jcoverage.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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testgeneration
Generation of test suites from test specifications
Test suites developed for complex software systems contain thousands of test cases. Keeping track on the test coverage and changing the test suite as the system requirements evolve can consume significant efforts. Testers have to implement or generate test scripts containing thousands of isolated executable test cases. Each single test case should be so simple enough so that test results can be easily evaluated. ... -
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Extends Cobertura to measure and report on code covered by unit tests in same package. Also adds improved reporting features, including measuring code coverage against a coverage policy.
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TikiOne JaCoCoverage
Java (6&7) Code Coverage Plugin for NetBeans, based on JaCoCo
NetBeans module that provides JaCoCo code coverage (Java7 compatible). For Ant based JavaSE projects. Maven and Gradle support may be added later. WARNING: Binary files have been removed. They're now on a NetBeans update center. Please check https://github.com/jonathanlermitage/tikione-jacocoverage#download-stable-and-dev-builds for details. ~Jonathan Lermitage <jonathan.lermitage@gmail.com> -
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CodeCover is a free glass box testing tool that measures statement, branch, loop, MC/DC, ?-operator, and sync- coverage. CodeCover supports coverage reports per each test case. Available languages: Java and COBOL.
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A plugin for the Eclipse IDE to generate control flow graphs and show coverage information. Supports node, edge, edge-pair and prime path coverage. Based on the Eclipse Control Flow Graph Generator (http://eclipsefcg.sourceforge.net/)
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Justus is a tool set for Progress 4GL (ABL) Developers. It includes a simplified parser for 4GL, an API to load Profiler data and a Test Coverage Tool.
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The Coverage Simulator transforms test models. The satisfaction of a weaker coverage criterion on the target model corresponds to the satisfaction of a stronger coverage criterion on the source model. Thus, it supports many model-based test generators.
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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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JXCL is a framework for constructing transforming class loaders for Java. It can be used for a wide range of purposes, including automated testing, in particular testing of unit test coverage.
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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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