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Burningwave core is an advanced, free and open source Java library that contains THE MOST POWERFUL CLASSPATH SCANNER for criteria based classes search. It’s possible to search classes by every criteria that your immagination can made by using lambda expressions. Burningwave core scan engine is highly optimized using direct allocated ByteBuffers to avoid heap saturation; searches are executed in multithreading context and are not affected by “the issue of the same class loaded by different classloaders” (normally if you try to execute "isAssignableFrom" method on a same class loaded from different classloader it return false). This library is useful also for creating classes during runtime, facilitate the use of reflection and much more...

This is CRUD interface based on standard JEE MVC servlet, JSP, JSTL. It renders forms and lists of any entity according XML settings (Beige-Settings). Database logic is handled by Beige-ORM. It also includes Mail-sender and database replicator through WEB-service. It is SQLite configured. Put WAR file into Tomcat7 webapps, make sure that Tomcat has libraries: HikariCP-2.4.3.jar, sqlite-jdbc-3.8.11.2.jar, slf4j-api-1.7.12.jar (versions may be different), for MS Windows change file separator in META-INF\context.xml connectionURL from "/" to "\" and reassemble WAR. Beigesoft-Accounting-Web extends it into very complex business application.

The Infinispan Spring Integration project provides Spring integration for Infinispan, a high performance distributed cache. Its primary features are * An implementation of org.springframework.cache.CacheManager, Spring's central caching abstraction, backed by Infinispan's EmbeddedCacheManager. To be used if your Spring-powered application and Infinispan are colocated, i.e. running within the same VM. * An implementation of org.springframework.cache.CacheManager backed by Infinispan's RemoteCacheManager. To bes used if your Spring-powered application accesses Infinispan remotely, i.e. over the network. * An implementation of org.springframework.cache.CacheManager backed by a CacheContainer reference. To be used if your Spring- powered application needs access to a CacheContainer defined outside the application (e.g. retrieved from JNDI) * Spring namespace support allowing shortcut definitions for all the components above In addition, Infinispan Spring Integration offers various FactoryBeans for facilitating creation of Infinispan core classes - Cache, CacheManager, ... - within a Spring context.

This Tool provides the means to monitor the performance of Spring Batch applications without the need to manipulate the respective code basis. Through Listeners and AOP it evaluates the throughput of a monitored Job and writes the result to a simble database-schema (a file-based H2 by default). It measures the performance of Job, Step, Chunk, Reader/Processor/Writer/Tasklet down to indivdual Items. Installation/Usage: 1. Add the springBatchPerformanceMonitoring-dependency to your POM 2. Add the de.viadee.spring.batch.infrastructure.Configurator.class to your Spring-Application-Context (via @Import on your Configuration) 3. Run the Job 4. By default the monitoring result is written to project-folder/target/database/monitoringDB.mv.db

jmockring - Java test MOCKing tool for spRING. A test harness tool for projects using the following technology stack: - Java 6+ - Spring 3.1 or greater as a DI/Deployment container - JUnit 4 and Mockito for testing - Jetty/Servlet API 3.0 for web app (war) deployment - for testing only Main features: 1) Partial Spring context deployment with automatic bean mocking for unavailable beans 2) Bootstrapping embedded Jetty server via JUnit runners 3) Configurable web application contexts 4) Automatic injection of Spring beans and mocks in JUnit tests via Java5 annotations

This is an open source library for parsing text-based inputs. PARSER makes use of context-free grammars to validate and parse sentences. Having specified such a grammar, the library takes care of parsing text-based inputs and returns a tree of nodes that represents the parsed sentence. Furthermore, it provides ways for interpreting and refining the returned tree of nodes. In essence, the library aims to remove the pain of parsing and instead allow focusing on processing and interpreting parsed results.

SEWOL provides support for the handling of workflow traces. Specifically it allows to specify the shape and content of process traces in terms of entries representing the execution of a specific workflow activity. SEWOL also allows to write these traces on disk as a log file with the help of a special file writer for process logs. Currently it supports plain text, Petrify, MXML and XES log file types. In order to specify security-related context information, SEWOL provides access control models such as access control lists (ACL) and role-based access control models (RBAC). All types of models can be conveniently edited with the help of appropriate dialogs.