JUnit
Ported to Java by Kent Beck and Erich Gamma from Beck's work in unit testing in Smalltalk, JUnit has been largely responsible for popularizing test-driven development over the last decade. Many implementations have been created, in .NET, C, Python, Perl and just about every language in popular use.Eclipse
As Java and its APIs matured in the early 2000s, the Eclipse IDE provided a way for programmers to be productive and negotiate the growing Java ecosystem. Eclipse was also the first major project to use the SWT UI toolkit, providing important competition to Sun's Swing and showing that Java programs can provide a rich native interface.Spring
The Spring Framework has played an important role in enabling Java developers to be productive, managing a balance between simplicity and features. Spring gives Java developers a set of services providing commonly used application functionality such as data access and transaction management. As a competitor to Sun's Enterprise Java Beans system, Spring enabled an alternative and simpler path for Java applications.Solr
The Solr server, and the Lucene search engine it encapsulates, has been for many years a simple and practical solution to providing search capabilities to web and enterprise applications. Solr's genius is in providing HTTP access to the powerful and fast Lucene search library, enabling it to become a part of any system, regardless of whether it is implemented in Java or not.Hudson and Jenkins
Originally developed as Hudson, and now also as Jenkins, this continuous integration tool is a key part of a Java development setup. Jenkins provides automated build and testing of a software project, continuing in the footsteps of JUnit in enabling agile development on the Java platform. While both Hudson and Jenkins persist for now as forks of each other, it doesn't detract from the work of Kohsuke Kawaguchi in creating a world-class continuous integration platform and so enhancing the quality of much Java development.Hadoop
This Java implementation of the famous MapReduce model is the powerhouse that has enabled most "big data" systems. By lowering the cost of extracting value from large data sets, Hadoop has made practical the personalization and advertising businesses of Facebook and Yahoo, and many other companies.Hadoop enables large-scale distributed computing by handling failure at the software level.Android
Android programs undergo a further step to convert JVM bytecode to Dalvik bytecode — Dalvik being a virtual machine optimized for mobile devices. Google has been able to leverage Eclipse to provide software developers with a mature development environment for creating Android applications.Oracle and Google are currently engaged in a lawsuit over a claim that Android infringes on multiple patents held by Oracle.
via [radar.oreilly.com]
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