JCodeCollector
jCodeCollector is a Java code coverage tool that calculates code coverage metrics to determine how much of the code in a Java project has been tested. It integrates with build tools and test frameworks to monitor code execution.
java
code-coverage
testing
jCodeCollector: Java Code Coverage Tool
Calculate code coverage metrics for your Java projects, integrate with build tools and test frameworks for seamless monitoring of code execution.
What is JCodeCollector?
jCodeCollector is an open source Java code coverage tool used to calculate code coverage metrics for Java applications. It analyzes which parts of the code are executed during testing to determine the percentage of code that is covered by automated tests.
Some key features of jCodeCollector include:
- Integration with build tools like Maven and Gradle to automatically run code coverage during builds
- Support for JUnit and TestNG test frameworks
- Code coverage reports in HTML, XML, and CSV formats
- Line, branch, and method coverage metrics
- Configuration options to include/exclude specific packages or classes
- Source code highlighting to pinpoint areas with low coverage
- Command line, Ant, and Maven interfaces
- Customizable reports and thresholds
By providing detailed code coverage statistics, jCodeCollector can help developers write better, more comprehensive automated tests and improve the overall quality of a Java codebase over time.
JCodeCollector Features
Features
- Code coverage analysis
- Integration with build tools and test frameworks
- Customizable coverage metrics
- Reporting and visualization of coverage data
- Supports Java projects
Pricing
- Open Source
Pros
Provides detailed code coverage metrics to identify untested areas
Integrates seamlessly with popular build tools and test frameworks
Customizable reporting and visualization options
Actively maintained and supported by the development community
Cons
Limited to Java projects only
May require additional configuration and setup for complex projects
Potential performance impact on large projects due to code instrumentation
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