Enterprise Web Services

Brought to you by: dims

Last Update: 2016-03-15

Get an email when there's a new version of Enterprise Web Services

This project is an implementation of JSR 109 specification. It uses Apache Axis as the SOAP Stack and implements all necessary modules to plugin in support for JSR 109 into any J2EE App Server.

Project Activity

See All Activity >

Follow Enterprise Web Services

Enterprise Web Services Web Site

Other Useful Business Software

$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.

Start Free

Rate This Project

User Reviews

Be the first to post a review of Enterprise Web Services!

Additional Project Details

Registered

2003-10-29

Report inappropriate content

$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.

Start Free

Recommended Projects

SAXP - Streaming API For XML Parsing
Implementation of JSR 173 - Streaming API For XML (http://www.jcp.org/en/jsr/detail?id=173). This effort is taken in consideration of Axis C project and now it has impl. as an internal component.
Java Server Reports
JSR is a simple J2EE / Struts application with the actual server state : Hard Drives, Ethernet, JVM, Core information, Memory
MX4J
MX4J is an Open Source implementation of the Java Management Extensions technology, for both JSR 3 (JMX) and JSR 160 (JMX Remote API).
Modern Jass
Modern Jass is a Design by Contract implementation for Java which uses Java 5 annotations, the Pluggable Annotation Processing API (JSR 269), the Compiler API (JSR 199), and the Bytecode Instrumentation API.
PheMaDB (Phenotype Microarray DataBase)
PheMaDB is a web-based data management system to store and analyze OmniLog Phenotype Microarray data. The manuscript can be accessed here: http://www.biomedcentral.com/1471-2105/12/109. Chang WE et al. BMC Bioinformatics. 2011 Apr 20;12(1):109.