GitHub guarda cada intento de un run y los artefactos JUnit. Cómo usar esos datos con gh, jq y Python para pasar de un job inestable al test exacto que falla y pasa con el mismo commit.

I contributed Google ADK for Java and Kotlin integrations to Dokimos 0.31.0 so you can evaluate agent tool calls, multi-agent trajectories, token costs, and task completion right inside JUnit.

From this course you can learn Testing for software engineers that includes learning of JUnit 5, Mockito, PowerMock and TDD approach.There are a lot of ... Enroll FREE with verified 100% OFF Udemy coupon on DeelCart.

JUnit XML test reports, read and written through nox-xml codecs

We are excited to announce Gradle 9.9.0.

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Stop treating AI evals as a silo. Run them like unit tests, via vitest-evals, JUnit XML, and Codecov, to keep quality tight and releases safe.

Flaky tests pass and fail on the same code, eroding trust in your pipeline and hiding real failures. In this article, I show how I built an open-source detector in Python that parses JUnit reports, scores each test per commit, and ranks the flakiest ones. Then I add an AI agent built with Strands Agents and Gemini that reads the reports and infers the root causes. Includes code, GitHub Actions integration, and tips on when to run it.

Eclipseでカバレッジを計測すると、コードが赤、黄、緑で色分けされます。どこまでカバーできたかは見えるものの、その色をどう決めているかは見えづらく、ちょっと黒魔術っぽく感じます。Eclipseからカバレッジを計測し、結果を表示するプラグインがEclEmmaで、計測と解析にはJaCoCoを使います。その仕組みを調べるため、計測前後のclassファイルを比べてみました。小さなJUnitのテストで、

Merge parts at minimum total cost: why sorting once fails, the greedy min-heap solution with PriorityQueue in O(n log n), a proof sketch, and JUnit 5 tests. Also known as connect ropes with minimum cost.