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Enforce 100 code coverage when testing 163 GitHub

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enforcing 100% code coverage in a github project (java/maven example)
this tutorial will guide you through setting up a workflow that enforces 100% code coverage for a java/maven project hosted on github. we'll cover code coverage analysis tools, setting up maven configuration, and integrating with github actions to automatically check coverage on pull requests.
**disclaimer:** achieving 100% code coverage doesn't guarantee bug-free code or perfect testing practices. it's a metric that should be used thoughtfully alongside other testing and code review strategies. focus on writing meaningful and valuable tests.
**prerequisites:**
* a github account.
* a basic understanding of java and maven.
* git installed on your local machine.
**i. project setup (maven)**
let's assume you have a maven project structure like this:
**1. add code coverage dependencies:**
**explanation:**
* **`jacoco-maven-plugin`:** this plugin is the core of the code coverage analysis.
* **`prepare-agent`:** prepares the jacoco agent to collect coverage data during test execution.
* **`report`:** generates a report of the code coverage in html, xml, and csv formats.
* **`check`:** this is the key part that enforces the coverage rules. it fails the build if the coverage requirements are not met.
* **`rules`:** defines the criteria for the coverage check. here, we're requiring 100% coverage for instructions, branches, lines, complexity, methods, and classes.
* **`counter`:** the metric we are measuring (e.g., `instruction`, `branch`, `line`). `instruction` refers to individual byte code instructions. `branch` refers to conditional branches in your code (if/else, switch statements, etc.).
* **`value`:** the type of value. `coveredratio` is used for percentages.
* **`minimum`:** the minimum requ ...
#CodeCoverage #Testing #characterencoding
Enforce code coverage
100% code coverage
GitHub testing
test automation
quality assurance
software testing
continuous integration
unit testing
code quality
test-driven development
coverage analysis
GitHub actions
testing best practices
development workflow
code validation
this tutorial will guide you through setting up a workflow that enforces 100% code coverage for a java/maven project hosted on github. we'll cover code coverage analysis tools, setting up maven configuration, and integrating with github actions to automatically check coverage on pull requests.
**disclaimer:** achieving 100% code coverage doesn't guarantee bug-free code or perfect testing practices. it's a metric that should be used thoughtfully alongside other testing and code review strategies. focus on writing meaningful and valuable tests.
**prerequisites:**
* a github account.
* a basic understanding of java and maven.
* git installed on your local machine.
**i. project setup (maven)**
let's assume you have a maven project structure like this:
**1. add code coverage dependencies:**
**explanation:**
* **`jacoco-maven-plugin`:** this plugin is the core of the code coverage analysis.
* **`prepare-agent`:** prepares the jacoco agent to collect coverage data during test execution.
* **`report`:** generates a report of the code coverage in html, xml, and csv formats.
* **`check`:** this is the key part that enforces the coverage rules. it fails the build if the coverage requirements are not met.
* **`rules`:** defines the criteria for the coverage check. here, we're requiring 100% coverage for instructions, branches, lines, complexity, methods, and classes.
* **`counter`:** the metric we are measuring (e.g., `instruction`, `branch`, `line`). `instruction` refers to individual byte code instructions. `branch` refers to conditional branches in your code (if/else, switch statements, etc.).
* **`value`:** the type of value. `coveredratio` is used for percentages.
* **`minimum`:** the minimum requ ...
#CodeCoverage #Testing #characterencoding
Enforce code coverage
100% code coverage
GitHub testing
test automation
quality assurance
software testing
continuous integration
unit testing
code quality
test-driven development
coverage analysis
GitHub actions
testing best practices
development workflow
code validation