Analysis updated 2026-07-09 · repo last pushed 2017-04-09
Learn how to configure Xcode to gather code coverage data during automated tests.
Set up continuous integration to send coverage reports to Codecov on every pull request.
See a workaround for Xcode and Swift reporting zero coverage in newer versions.
Understand how to limit coverage uploads to only your project files for faster processing.
| juanpe/example-swift | arnabau/thermalpulse | caggann/claude-code-monitor | |
|---|---|---|---|
| Stars | — | 0 | 0 |
| Language | Swift | Swift | Swift |
| Last pushed | 2017-04-09 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | easy | moderate | easy |
| Complexity | 1/5 | 3/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
No real setup needed beyond cloning the repo and reading the README walkthrough to learn the Codecov configuration steps.
This repository is a sample project showing how to connect a Swift app to Codecov, a service that tracks how much of your code is covered by automated tests. It exists purely as a reference example, you wouldn't build anything on top of it directly, but you'd look at it to learn the setup steps. Code coverage tells you which lines of your code actually run when your tests execute. If you have a function that handles user login but no test ever calls it, coverage tools flag that gap. Codecov takes the raw coverage data generated when your tests run and turns it into visual reports, percentages, line-by-line highlights, trend graphs over time. This example shows the plumbing: how to tell Xcode to gather coverage data during tests, how to run those tests in an automated way, and how to send the results to Codecov. The target audience is iOS or macOS developers who want to see their test coverage trends without digging through Xcode's built-in reports. A typical use case: a small team wants every pull request to show whether it increased or decreased coverage, so they can catch regressions before merging. By hooking Codecov into their automated build process, they get a coverage badge on their repository and a comment on each pull request summarizing the impact. The example walks through configuring a continuous integration setup that runs your tests and then pipes the coverage data to Codecov. It also addresses a couple of practical pain points: coverage uploads can be slow because the uploader processes everything by default, so the guide shows how to limit it to just your project. There's also a note about a known issue with newer Xcode and Swift versions reporting zero coverage, with a workaround. Beyond that, the README doesn't go into much depth, it's a focused walkthrough rather than a comprehensive guide.
A sample Swift project demonstrating how to connect an iOS or macOS app to Codecov for tracking test coverage trends and showing coverage impact on pull requests.
Mainly Swift. The stack also includes Swift, Xcode, Codecov.
Dormant — no commits in 2+ years (last push 2017-04-09).
The explanation does not mention a license for this repository.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.