Research Article

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

Authors

  • 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.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (4)

Pages

1029-1035

Published

2025-05-26

How to Cite

Arun Shankar. (2025). From Coverage Chaos to Clarity: Scaling Code Coverage Visibility Across Teams. Journal of Computer Science and Technology Studies, 7(4), 1029-1035. https://doi.org/10.32996/jcsts.2025.7.4.116

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Keywords:

Code coverage, continuous integration, developer experience, polyglot environments, test automation