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From Coverage Chaos to Clarity: Scaling Code Coverage Visibility Across Teams

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  • Arun Shankar

    (Independent Researcher, USA)

Abstract

This article presents the development and implementation of jest-cov-reporter, a lightweight, language-agnostic tool that transforms how engineering organizations manage code coverage visibility. By decoupling coverage data collection from reporting and utilizing existing test outputs, the solution eliminates redundant test executions, accelerates CI pipelines, and standardizes coverage reporting across multiple programming languages. The implementation process involved strategic pilot deployment, parallel validation, comprehensive documentation, and dedicated migration support. The results demonstrate significant improvements in CI performance, developer experience, cross-team consistency, maintenance requirements, and code quality practices. Beyond technical benefits, the solution catalyzed a cultural shift where teams began viewing coverage as a valuable development tool rather than a compliance requirement, ultimately leading to more thoughtful testing strategies and improved code quality.

Suggested Citation

  • Arun Shankar, 2025. "From Coverage Chaos to Clarity: Scaling Code Coverage Visibility Across Teams," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(4), pages 1029-1035, May.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:4:id:9728
    DOI: 10.32996/jcsts.2025.7.4.116
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