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What Is Code Coverage? Metrics, Tools & Coverage Goals

Blog post from Keploy

Post Details
Company
Date Published
Author
Arindam Majumder
Word Count
1,718
Company Posts That Month
10
Language
English
Hacker News Points
-
Post removed?
No
Summary

Code coverage is a critical aspect of the software development lifecycle, especially in backend systems using Go, as it assesses the proportion of code executed by tests, ensuring reliability and quality. As a key measure in white box testing, high code coverage suggests fewer bugs and more robust applications. The coverage percentage is calculated by dividing the number of executed lines by the total lines of code, and it can be measured at various levels such as statement, branch, condition, path, and modified condition/decision coverage (MC/DC). Different tools, like JaCoCo for Java and Istanbul for JavaScript, offer unique features to suit various programming languages and platforms, and they can be seamlessly integrated into CI/CD pipelines to automate coverage measurement and reporting. This integration allows teams to identify untested areas, detect regressions early, and maintain code quality by ensuring new changes are adequately tested before deployment. While aiming for 100% coverage is often impractical, achieving 70-80% is generally considered good, focusing on meaningful tests that cover critical business logic.

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