Audience
Developers searching for a Code Coverage solution to Quickly find untested C++ code and measure testing completeness
About BullseyeCoverage
BullseyeCoverage is an advanced C++ code coverage tool used to improve the quality of software in vital systems such as enterprise applications, industrial control, medical, automotive, communications, aerospace and defense. The function coverage metric gives you a quick overview of testing completeness and indicates areas with no coverage at all. Use this metric to broadly raise coverage across all areas of your project. Condition/decision coverage provides detail at the control structure level. Use this metric to attain high coverage in specific areas, for example during unit testing. C/D coverage provides better detail than statement coverage or branch coverage, and provides much better productivity than more complex coverage metrics.
Pricing
Starting Price:
$900 one-time payment
Free Trial:
Free Trial available.
Integrations
Company Information
Bullseye Testing Technology
www.bullseye.com
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Sahi Pro
Sahi Pro is a suite of automation tools for web, web services, Windows desktop, Java and mobile applications. With features like automatic waits, recorders, accessor spy, inbuilt framework and editor, parallel and distributed playback, automatic logging and reporting, javascript code coverage, multi-language support etc., Sahi Pro saves 70% of time and effort normally spent in test automation. Sahi Pro is trusted by over 400 companies worldwide and is fast emerging as the preferred test automation tool in the agile world. Simple to use and easy to learn. Tester-centric while being business-driven. A Test Automation Platform that truly understands your business needs. Sahi Pro is the perfect test automation platform for rockstar QA engineers working on almost any tech stack. Agile quality assurance delivered. Rapid stable playback with continuous Integration for quick feedback.
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OpenClover
Balance your effort spent on writing applications and test code. Use the most sophisticated code coverage tool for Java and Groovy. OpenClover measures code coverage for Java and Groovy and collects over 20 code metrics. It not only shows you untested areas of your application but also combines coverage and metrics to find the riskiest code. The Test Optimization feature tracks which test cases are related to each class of your application code. Thanks to this OpenClover can run tests relevant to changes made in your application code, significantly reducing test execution time. Do testing getters and setters bring much value? Or machine-generated code? OpenClover outruns other tools in its flexibility to define the scope of coverage measurement. You can exclude packages, files, classes, methods, and even single statements. You can focus on testing important parts of your code. OpenClover not only records test results but also measures individual code coverage for every test.
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Devel::Cover
This module provides code coverage metrics for Perl. Code coverage metrics describe how thoroughly tests exercise code. By using Devel::Cover you can discover areas of code not exercised by your tests and determine which tests to create to increase coverage. Code coverage can be considered an indirect measure of quality. Devel::Cover is now quite stable and provides many of the features to be expected in a useful coverage tool. Statement, branch, condition, subroutine, and pod coverage information is reported. Statement and subroutine coverage data should be accurate. Branch and condition coverage data should be mostly accurate too, although not always what one might initially expect. Pod coverage comes from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead.
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JCov
The JCov open-source project is used to gather quality metrics associated with the production of test suites. JCov is being opened in order to facilitate the practice of verifying test execution of regression tests in OpenJDK development. The main motivation behind JCov is the transparency of test coverage metrics. The advantage to promoting standard coverage based on JCov is that OpenJDK developers will be able to use a code coverage tool that stays in the 'lock step' with Java language and VM developments. JCov is a pure java implementation of a code coverage tool that provides a means to measure and analyze dynamic code coverage of Java programs. JCov provides functionality to collect method, linear block, and branch coverage, as well as show uncovered execution paths. It is also able to show a program's source code annotated with coverage information. From a testing perspective, JCov is most useful to determine execution paths.
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Mac
Linux
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