Welcome to the JOpera Project

JOpera for Eclipse is a rapid service composition tool offering a visual language and autonomic execution platform for building distributed applications out of reusable services, which include but are not strictly limited to Web services.

On these pages you will find more information about JOpera: documentation, screenshots, talks, videos, publications and access the bug tracker. You will also be able to download the latest version of the system, ready to run on Eclipse 3.2 and see a demo of JOpera running some workflow patterns.

JOpera helps you to deal with:

• Bottom-up and top-down (i.e., iterative) service composition.
  
• Heterogeneity: invoke SOAP and RESTful Web services, Java snippets, Human activities, Grid services, Your-Favourite services...
  
• Large-scale process modeling and execution.

by providing a set of powerful and integrated tools for:

• True visual process definition, not limited to declaring the control flow, but also providing full support for drawing the data flow.
  
• Agile service composition with immediate feedback, refactoring and regression testing of your processes.
  
• Recursive service composition: automatic publishing of processes as Web services.
• Efficient process execution: visual models compiled to Java bytecode.
• Visual Monitoring, interactive steering and seamless debugging of service compositions fully integrated with the design-time tools.
• Service Interface Change Management: JOpera tells you which processes will be affected by changing a service definition.
  
• Lineage Tracking: data provenance metadata is automatically collected by the engine.
  
• Scalable and autonomic process execution: the distributed version of JOpera can run on a cluster of computers and tune itself automatically.

Thanks to its generality, JOpera for Eclipse has a wide range of applications and implications: from rapid development of Service-Oriented Business Applications to classical Workflow Management and Business Process Automation, from Straight Through Processing in the enterprise and in virtual laboratories (e.g., scientific workflows, bioinformatics), to visual scripting of Mashups and pipelined processing over data and RSS streams.