Statements (486)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:API
gptkb:Java_Enhancement_Proposal |
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:JEP_388
gptkb:JEP_390 gptkb:JEP_392 gptkb:JEP_33 gptkb:JDK_10 gptkb:JDK_14 gptkb:Java_10 |
| gptkbp:abstract |
This JEP proposes new interfaces and implementations for pseudo-random number generators.
|
| gptkbp:addresses |
Event data accessibility.
|
| gptkbp:adds |
new AP Is
new classes for random number generation. New algorithms for random number generation |
| gptkbp:aims_to |
simplify the use of random number generators.
Improve observability of Java applications. simplify internationalization in Java provide better performance and flexibility Improve performance and flexibility of random number generation. |
| gptkbp:applies_to |
Game development
cryptography. game development. Simulation applications |
| gptkbp:approves |
September 2021
|
| gptkbp:author |
gptkb:Brian_Goetz
gptkb:Martin_Buchholz |
| gptkbp:benefits |
Improved performance on mac OS.
simulation and modeling. Real-time monitoring of applications. Improved graphics performance. Improved maintainability and security of code. Significant on Java graphics. |
| gptkbp:category |
gptkb:technology
|
| gptkbp:challenges |
Ensuring compatibility with existing code.
Handling edge cases in random number generation. Providing clear documentation. Testing the new implementations thoroughly. Maintaining performance across different implementations. Compatibility with older mac OS versions. Adapting to mac OS updates. |
| gptkbp:collaborations |
Java developers.
Open JDK contributors. With Apple on Metal. |
| gptkbp:community_engagement |
Encouraged through forums.
|
| gptkbp:community_involvement |
Encouraged for feedback.
|
| gptkbp:community_support |
Strong support from the Java community.
|
| gptkbp:complement |
Existing profiling tools.
|
| gptkbp:consequences |
Improves code readability.
Encourages innovation. Reduces boilerplate code. Improves overall system performance. Improves developer productivity. Encourages community contributions. Facilitates pattern matching. Encourages better design practices. Encourages the use of agile methodologies. Encourages the use of best practices. Encourages the use of design patterns. Encourages the use of interfaces. Facilitates code reviews. Improves overall project success. Improves overall software quality. Promotes the use of composition over inheritance. Supports better scalability. Encourages immutability. Better documentation of intent. Easier to understand code. Encourages continuous improvement. Encourages the use of open standards. Enhanced performance in some cases. Enhances performance optimization. Enhances testing capabilities. Facilitates better project planning. Facilitates code refactoring. Facilitates integration with other systems. Facilitates onboarding of new developers. Facilitates the use of functional programming. Improves collaboration among developers. Improves interoperability. Improves project maintainability. Improves stakeholder satisfaction. More predictable class hierarchies. Promotes encapsulation. Reduced risk of misuse. Simplifies maintenance. Supports better documentation. Supports better error handling. Supports better resource management. Supports better risk management. Supports better user experience. Supports better versioning. Supports more robust AP Is. |
| gptkbp:contributed_to |
Improved performance in concurrent applications
|
| gptkbp:contribution |
Encourages community contributions.
Supports the development of cryptographic applications. Supports educational purposes in teaching random number generation. Encourages the use of random number generation in data analysis. Improves documentation and examples for developers. Improves the efficiency of random number generation. Allows for easier integration with existing code. Encourages the adoption of new algorithms. Enhances performance in scientific computing. Enhances the overall Java ecosystem. Enhances usability for developers. Facilitates research in random number generation. Facilitates testing and simulation. Improves performance of random number generation. Improves security for random number generation. Promotes better code maintainability. Provides a foundation for future enhancements. Provides better statistical properties. Supports various applications in gaming and simulations. Supports cross-platform compatibility. Supports new algorithms. Supports parallel random number generation. Supports the development of randomized algorithms. Supports the development of statistical models. Encourages the use of random number generation in optimization problems. Provides a standard interface for random number generators. Improves the reliability of random number generation. Facilitates the creation of simulations in various fields. Improves the overall quality of random number generation in Java. Promotes best practices in random number generation. Facilitates the creation of custom random number generators. Encourages the use of modern random number generation techniques. Promotes the use of random number generation in machine learning. Facilitates the development of high-performance applications. Promotes the use of random number generation in artificial intelligence. Contributes to the overall performance of Java applications. Enhances Java's cross-platform capabilities. |
| gptkbp:date |
2021-09-14
September 2021 |
| gptkbp:dependency |
Java 17.
Depends on JEP 355. |
| gptkbp:discusses |
Open JDK mailing list.
|
| gptkbp:ecological_role |
Enhances Java's graphics capabilities.
|
| gptkbp:enables |
Custom event handling.
Event-driven architectures. |
| gptkbp:ends_at |
September 2021.
|
| gptkbp:enhances |
performance of random number generation.
existing internationalization features Application diagnostics. random number generation capabilities in Java Existing random number generators Existing random number generation AP Is Support for new graphics features. |
| gptkbp:example |
Example of custom random number generator.
Example of stream-based random number generation. Example of thread-safe random number generation. Example of using different algorithms. Example of using the new random number generators. Sealed classes can be used in domain modeling. |
| gptkbp:exhibited_at |
Conferences.
Tech meetups. |
| gptkbp:facilitates |
Integration with external monitoring tools.
|
| gptkbp:features |
gptkb:JDK_17
gptkb:Sealed_classes Interfaces Permits Abstract classes Improved algorithms for random number generation. Java's core libraries. New interfaces for random number generators. Support for stream-based random number generation. Additional algorithms for random number generation New interfaces for random number generation Support for stream-based random number generation Non-sealed classes Final classes Support for advanced graphics. |
| gptkbp:feedback |
Generally positive.
Open JDK mailing list. Positive feedback from the Java community. Desire for more documentation. Interest in performance comparisons. Requests for more examples. Suggestions for additional features. Incorporated into future plans. Positive from developers. |
| gptkbp:first_released |
JDK 17.
|
| gptkbp:focuses_on |
Java user groups
|
| gptkbp:future_plans |
Exploration of new algorithms.
Further optimizations. User feedback incorporation. Improving performance metrics. Integration with other Java libraries. Potential enhancements to the random number generation framework. |
| gptkbp:game_components |
Java's ecosystem.
|
| gptkbp:goal |
Improve rendering performance.
|
| gptkbp:has_documentation |
Comprehensive guides available.
Available on Open JDK website. |
| gptkbp:has_goal |
Higher rendering efficiency.
|
| https://www.w3.org/2000/01/rdf-schema#label |
JEP 356
|
| gptkbp:impact |
Enhances the java.util. Random class.
Graphics rendering on mac OS. Introduces new classes like Random Generator. Improves the usability of random number generation in Java. Changes how inheritance is handled. Better graphics experience. |
| gptkbp:improves |
gptkb:java.util._Random
Locale support Performance analysis. legacy random number generators. Random number generation capabilities System observability. Random number generation in Java |
| gptkbp:includes |
general availability
release candidate feature freeze Random Generator Factory class Random Generator interface Random Generator Factory interface ramp-down period New classes for random number generators |
| gptkbp:influences |
Future enhancements in random number generation.
|
| gptkbp:innovation |
random number generation in Java.
Random number generation AP Is Pioneering new graphics techniques. |
| gptkbp:integrates_with |
Seamless with existing Java applications.
|
| gptkbp:introduced |
gptkb:Splittable_Random
gptkb:Java_SE_17 gptkb:JDK_11 gptkb:JDK_15 gptkb:Java_17 |
| gptkbp:is_a_framework_for |
advanced random number techniques.
random number generation. Random number generation strategies |
| gptkbp:is_a_resource_for |
Java developers
software engineers. Java developers. |
| gptkbp:is_a_solution_for |
Random number generation challenges
|
| gptkbp:is_a_source_of |
best practices.
|
| gptkbp:is_a_tool_for |
data analysis.
statistical analysis. Statistical analysis in Java |
| gptkbp:is_adopted_by |
Developers.
Enterprise applications. Widely adopted in Java applications. High among Java FX applications. |
| gptkbp:is_aimed_at |
improving randomness quality.
|
| gptkbp:is_aligned_with |
Best practices.
Industry standards. Java's performance goals. Java's long-term vision. |
| gptkbp:is_associated_with |
Randomness in computing
|
| gptkbp:is_cited_in |
Academic research.
Industry reports. |
| gptkbp:is_compatible_with |
Microservices architecture.
Java applications. existing random number generation code. |
| gptkbp:is_described_as |
Enhanced Pseudo-Random Number Generators
Documentation. Introduces a new rendering pipeline for mac OS. Introduces sealed classes and interfaces to restrict which classes can extend or implement them. This JEP proposes new interfaces and implementations for pseudo-random number generators. New Internationalization Enhancements Technical articles. Provides a mechanism for streaming events from the Java Flight Recorder. JDK 17 Release Schedule |
| gptkbp:is_designed_for |
high-performance applications.
|
| gptkbp:is_designed_to |
meet modern application needs.
|
| gptkbp:is_discussed_in |
gptkb:software_framework
Technical blogs. Developer communities. Java community forums. |
| gptkbp:is_documented_in |
Java SE documentation.
Official JDK documentation. Open JDK documentation |
| gptkbp:is_enhanced_by |
Community contributions.
User contributions. Java's random number capabilities |
| gptkbp:is_evaluated_by |
Performance analysts.
Performance engineers. Software architects. |
| gptkbp:is_expected_to |
enhance developer productivity.
|
| gptkbp:is_implemented_in |
gptkb:software
gptkb:language gptkb:Java_Enhancement_Proposal Completed. Implemented in the java.base module. Implemented in the java.util.random package. JDK 11 and later. JDK 17 and later. java.util.random package. |
| gptkbp:is_influenced_by |
User feedback.
Research on random number generation Industry trends. research in random number generation. User experiences. |
| gptkbp:is_integrated_with |
Cloud services.
Monitoring dashboards. |
| gptkbp:is_motivated_by |
To provide a more flexible and powerful random number generation framework.
To provide a more flexible and extensible framework for random number generation. To leverage modern graphics capabilities. To provide a more declarative way to restrict class hierarchies. |
| gptkbp:is_part_of |
gptkb:Java_SE_17
gptkb:Java_SE_platform gptkb:Java_Enhancement_Proposal Java platform evolution Java Development Kit (JDK). Java Platform, Standard Edition. Java's ecosystem. Java's future direction. Java's ongoing evolution. Java's standard library. Java SE Platform. Java's observability features. Java's performance toolkit. Java's evolution towards modern programming needs |
| gptkbp:is_promoted_by |
Online courses.
Webinars. Java advocates. |
| gptkbp:is_recognized_for |
its innovative approach.
|
| gptkbp:is_referenced_in |
Research papers.
Technical specifications. future JE Ps. future enhancements. random number generation algorithms. Developers using Java |
| gptkbp:is_related_to |
gptkb:JEP_357
JEP 290. |
| gptkbp:is_reviewed_by |
Peer reviewers.
Technical committees. Java experts. |
| gptkbp:is_standardized_by |
random number generation in Java.
random number generation. Random number generation in Java |
| gptkbp:is_supported_by |
Multiple platforms.
Java community. Various operating systems. |
| gptkbp:is_tested_for |
Quality assurance processes.
Quality assurance teams. Development teams. Extensive testing on mac OS. |
| gptkbp:is_used_in |
Cryptography applications
concurrent programming. Production environments. |
| gptkbp:is_utilized_in |
machine learning.
Monitoring solutions. Dev Ops teams. |
| gptkbp:is_valued_for |
Java's offerings.
|
| gptkbp:key |
Java 17 features
Java 17. Java's functionality. Metal API integration. Control over class hierarchies |
| gptkbp:language |
gptkb:Java
|
| gptkbp:latest_version |
gptkb:Java_17
JDK 17+ |
| gptkbp:legacy |
Foundation for future graphics enhancements.
|
| gptkbp:notable_achievement |
Java development history
Java's development. |
| gptkbp:notable_for |
programming languages.
Java 17 release |
| gptkbp:notable_production |
Streamlined graphics development.
|
| gptkbp:notable_recipients |
Open source software
Software engineering best practices Collaborative projects. Java's capabilities. Open JDK. Open-source projects. |
| gptkbp:objective |
Focused on mac OS rendering.
|
| gptkbp:origin |
better software development.
Better random number generation standards |
| gptkbp:performance |
random number generation standards.
Improved frame rates. |
| gptkbp:platform |
mac OS.
|
| gptkbp:project |
Completed in 2021.
Managed by Open JDK. Enhance Java's graphics capabilities. Future-proof Java graphics. Java FX, Open JDK. |
| gptkbp:proposed_by |
gptkb:Database_Management_System
gptkb:JDK_17 gptkb:Brian_Goetz gptkb:Martin_Buchholz Java language enhancement March 2020. |
| gptkbp:provides |
better statistical properties.
multiple algorithms for random number generation. New interfaces for random number generation AP Is for event streaming. Streaming AP Is. new algorithms for random number generation |
| gptkbp:provides_information_on |
developers.
implementing random number generators. Best practices in random number generation. Future enhancements in Java |
| gptkbp:published_by |
September 2020.
|
| gptkbp:purpose |
Provide new interfaces and implementations for random number generation.
|
| gptkbp:related_concept |
FIPS 140-2.
ISO/ IEC 18031. NISTSP 800-90. Open GL, Metal. |
| gptkbp:related_jeps |
gptkb:JEP_338
gptkb:JEP_357 gptkb:JEP_384 gptkb:JEP_409 |
| gptkbp:related_model |
other programming languages.
|
| gptkbp:related_to |
gptkb:JEP_411
gptkb:JEP_338 gptkb:JEP_357 gptkb:JEP_382 gptkb:JEP_387 gptkb:JEP_391 gptkb:JEP_394 gptkb:JEP_395 gptkb:JEP_396 gptkb:JEP_397 gptkb:JEP_398 gptkb:JEP_399 gptkb:Java_Flight_Recorder gptkb:Records gptkb:JDK_11 gptkb:JEP_400 gptkb:JEP_401 gptkb:JEP_402 gptkb:JEP_403 gptkb:JEP_404 gptkb:JEP_405 gptkb:JEP_406 gptkb:JEP_407 gptkb:JEP_408 gptkb:JEP_409 gptkb:JEP_410 Pattern Matching |
| gptkbp:release_date |
September 2018
September 2021 |
| gptkbp:released |
gptkb:JDK_17
gptkb:Java_SE_17 gptkb:JDK_15 gptkb:Java_17 Aligned with JDK releases. Available on Open JDK site. |
| gptkbp:replaced_by |
legacy random number generation methods
|
| gptkbp:requires |
gptkb:JEP_355
Metal API JDK Flight Recorder. |
| gptkbp:resulted_in |
Community feedback
community feedback. |
| gptkbp:specifies |
gptkb:Java_Language_Specification
Java SE 17. Detailed in JEP document. |
| gptkbp:sponsor |
gptkb:Java_Platform_Group
Incorporated into development. Java developers. |
| gptkbp:status |
gptkb:Final
|
| gptkbp:strategic_importance |
Critical for Java's graphics future.
|
| gptkbp:subject |
Research papers
academic research. Technical discussions discussion in Java forums. |
| gptkbp:succeeded_by |
Used in various commercial applications.
|
| gptkbp:successor |
gptkb:JEP_382
|
| gptkbp:supports |
splittable random number generators.
Low-overhead data collection. multiple random number generation algorithms Multiple random number generation algorithms |
| gptkbp:sustainability_initiatives |
Long-term support planned.
|
| gptkbp:targets |
gptkb:JDK_17
gptkb:JDK_11 |
| gptkbp:technique |
Improving randomness quality
|
| gptkbp:technology |
Java FX, Metal.
|
| gptkbp:title |
gptkb:Sealed_Classes
gptkb:JFR:_Event_Streaming gptkb:New_mac_OS_Rendering_Pipeline Enhanced Pseudo-Random Number Generators |
| gptkbp:user_base |
Java developers on mac OS.
|
| gptkbp:user_experience |
Enhanced for mac OS users.
|
| gptkbp:user_reviews |
gptkb:Open_JDK_Community
gptkb:Alan_Bateman gptkb:Brian_Goetz gptkb:Venkat_Subramaniam gptkb:Dan_Smith gptkb:Mark_Reinhold gptkb:Maurizio_Cimadamore gptkb:Jesse_Glick |
| gptkbp:uses |
Used in frameworks to limit extensibility.
Used in AP Is to control subclassing. Used in applications for clearer design. Used in libraries for better type safety. |
| gptkbp:vision |
Continued improvement of graphics in Java.
|
| gptkbp:was_a_catalyst_for |
innovation in Java.
|
| gptkbp:was_a_response_to |
limitations of java.util. Random.
Developer requests for better randomness tools |