Code Coverage: How to Measure It, Understand the Metrics, and Improve Your Tests
Whether you’re shipping a SaaS product or maintaining a legacy monolith, understanding what your tests actually exercise-and what they miss-can make the difference between a confident release and a 2AM incident page. This article walks you through the core coverage metrics, how to measure them with modern tools, and practical steps to improve code coverage without wasting effort on tests that don’t matter. Code Coverage reporting is available on Qodana Ultimate and Qodana Ultimate Plus licenses.
- ▪Whether you’re shipping a SaaS product or maintaining a legacy monolith, understanding what your tests actually exercise-and what they miss-can make the difference between a confident release and a 2AM incident page.
- ▪This article walks you through the core coverage metrics, how to measure them with modern tools, and practical steps to improve code coverage without wasting effort on tests that don’t matter.
- ▪Code Coverage reporting is available on Qodana Ultimate and Qodana Ultimate Plus licenses.
JetBrains Blog files mainly under programming. We currently carry 12 of its stories.
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| Original publisher | The JetBrains Blog |
| Canonical URL | https://blog.jetbrains.com/qodana/2026/07/code-coverage-tests/ |
| Publication time | Thu, 23 Jul 2026 09:49:34 +0000 |
| Retrieval time | 2026-07-26T10:01:46.789Z |
| Last seen | 2026-07-26T10:01:46.789Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | MivawyrBuvyK · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Qodana The code quality platform for teams Follow Follow: X X RSS RSS Get Qodana All News Tutorials Features Opinion Code Coverage: How to Measure It, Understand the Metrics, and Improve Your Tests Kerry Beetge Code coverage is one of those metrics that every development team talks about but few use to its full potential. Whether you’re shipping a SaaS product or maintaining a legacy monolith, understanding what your tests actually exercise-and what they miss-can make the difference between a confident release and a 2AM incident page. This article walks you through the core coverage metrics, how to measure them with modern tools, and practical steps to improve code coverage without wasting effort on tests that don’t matter.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The JetBrains Blog.