Writing scalable server applications in the Java™ programming language has always been difficult. Before the advent of the Java New I/O API (NIO), thread management issues made it impossible for a server to scale to thousands of users. The Eclipse Grizzly NIO framework has been designed to help developers to take advantage of the Java™ NIO API.
Eclipse Mojarra is an implementation for the JavaServer Faces specification (JSR-372). JavaServer Faces (JSF) is a Java specification for building component-based user interfaces for web applications. It is also a MVC web framework that simplifies construction of user interfaces (UI) for server-based applications by using reusable UI components in a page.
Mojarra is included in GlassFish.
Eclipse Project for JSON-P is a Java API to process (e.g. parse, generate, transform and query) JSON documents. It produces and consumes JSON in a streaming fashion (similar to StAX API for XML) and allows to build a Java object model for JSON using API classes (similar to DOM API for XML).
Eclipse GlassFish Tools enables publishing of Eclipse IDE projects to GlassFish as well as controlling GlassFish server from within Eclipse IDE. It extends Eclipse Web Tools Platform.
Because today's software-intensive automotive systems are still developed in silos by each car manufacturer or OEM in-house, long-term challenges in the industry are yet unresolved. Establishing a standard for car-to-cloud scenarios significantly improves comprehensive domain-related development activities and opens the market to external applications, service provider, and the use of open source software wherever possible without compromising security. Connectivity, OTA maintenance, automated driving, electric mobility, and related approaches increasingly demand technical innovations applicable across automotive players.
The open and secure Eclipse Kuksa project will contain a cloud platform that interconnects a wide range of vehicles to the cloud via in-car and internet connections. This platform will be supported by an integrated open source software development environment including technologies to cope especially with software challenges for vehicles designed in the IoT, Cloud, and digital era.
Eclipse CogniCrypt is planned as a set of Eclipse plugins, which to developers ultimately are meant to provide the following features:
Software engineers spend most of their time learning to understand the software they maintain or depend on (or will depend on). The goal of this learning process is to support decision-making. In this project, we focus on the increasing dependence on open-source software (OSS) over the last years and the decisions related to depending on open-source software. Eclipse CROSSMETER will support the eﬃcient and eﬀective decision-making regarding dependence on OSS projects and components thereof. This entails both decisions on the architecture level (to decide to select and OSS project) and on the code level (to design the use of the OSS project). In particular, CROSSMETER will provide techniques and tools for extracting knowledge from existing open source components, and use such knowledge to properly select and reuse existing software to develop new systems. The activity of the developer will be continuously monitored in order to raise alerts related to the quality of the selected OSS projects and to give suggestions that can reduce the development eﬀort and increase the quality of the ﬁnal software products.
The Eclipse Thingweb project will start with three sub-projects in the toolkit:
node-wot is the official reference implementation of the W3C WoT Working Group and implements the so-called "Servient Architecture":
With 'DATA' being 'the currency of the IOT', having a proper data-sharing technology will be a key-asset in any IOT-platform.
Eclipse Mita is a programming language for the embedded IoT. We combine a declarative setup of system resources (e.g. Bluetooth connectivity or a temperature sensor) with a modern imperative language. We introduce first-class primitives for sensor access and connectivity to other systems, which allows for quick exploration and integration into IoT ecologies. We support embedded algorithm through powerful primitives, e.g. lists, vectors and statistic functions. In order to prevent problems at compile-time Mita has a static strong type-system.