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  1. Oct 16, 2024 · 12 features are proposed for the next version of Java including compact headers, primitive types in patterns, instanceof, and switch, and linking runtime images without JMODs.

  2. 6 hours ago · It's important to note that these enhancements are currently rolled out as preview features. They're experimental, open to potential modifications or even withdrawal before they become a staple in the language. Luckily, developers keen on experimenting immediately can access these features using the early-access builds of Java 24.

  3. openjdk.org › projects › jdkJDK 24

    2 days ago · JDK 24. This release will be the Reference Implementation of version 24 of the Java SE Platform, as specified by JSR 399 in the Java Community Process.

  4. 2 days ago · This data suggests that, despite Java’s maturity and widespread adoption, performance optimization and cost-efficiency remain key areas for improvement, BellSoft says. Migration to the latest Java Development Kit (JDK) versions continues to lag, the survey suggests, with many enterprises relying on older long-term-support (LTS) releases, especially JDK 11 and earlier.

  5. 5 days ago · 4. Mockito. Mockito is a popular mocking framework used in conjunction with other Java testing frameworks like JUnit and TestNG. It simplifies the process of creating mock objects for unit tests by allowing developers to focus on the behavior they want to test rather than setting up complex object states.

  6. 5 days ago · Status ¶. This document describes a set of extensions to LLVM to support garbage collection. By now, these mechanisms are well proven with commercial java implementation with a fully relocating collector having shipped using them. There are a couple places where bugs might still linger; these are called out below.

  7. 2 days ago · Mathematically, we can write the regression problem (model) as Y = XA + b, where Y is a response variable, X —a set of predictors (in our case, metrics), A —parameter estimates, and b —residual vector. We can estimate A as follows: A = (XTX) −1XTY. If X is nearly linearly dependent, then XTX is nearly singular [12].