Metadata and Adaptive
Pattern Mining Workshop
The unrelenting pace of change that confronts contemporary software developers compels them to make their applications more configurable, flexible, and adaptable. The era where business rules are buried in Cobol code is coming to an end. Today, users themselves may seek to dynamically change their business rules and products. Customers want systems that more easily adapt to changing business needs, meet their unique requirements, and scale to large and small installations. Multi-tiered systems often demand that data that move through them carry with them their own descriptions. There have been a number of successful frameworks and applications implemented and delivered in different areas of industry that use domain specific languages, metadata, and flexible business rule implementations to address these sorts of needs.
Today’s businesses prefer to buy applications than to build them. As a consequence, the IT environment of large corporations is filled with a wild and vast collection of different off-the-shelf products as well as homegrown applications that all need to be integrated. Metadata-driven application and business model integration can play a major role in allowing these systems to evolve smoothly.
A system with an Adaptive Object-model has an explicit object model that is itself built out of objects. These objects (or a translated version of them) are, in turn, interpreted or executed at run-time. If you change the object model, the system changes its behavior. For example, a lot of workflow systems have an Adaptive Object-model. Objects have states and respond to events by changing state. The Adaptive Object-model (a.k.a. knowledge level) defines the objects, their states, the events, and the conditions under which an object changes state. Suitably privileged people can change this object model "without programming". Or are they programming after all? Business rules can be stored in an Adaptive Object model. This makes it easy for the way a company does their business to evolve.
Researchers working with reflection and meta-level architectures have been looking at how to make systems highly configurable for quite some. We hope to encourage such researchers to compare notes with practitioners who have been building highly configurable systems in industry.
Indeed, Smalltalk’s rich reflective facilities have helped to make Smalltalk fertile ground in which some of the earliest and best examples of such systems have germinated and flourished.
The goal of our workshop will be to document the techniques and principles that make these systems work. We hope to "mine" these systems and continue to cultivate a preliminary collection of metadata and Adaptive Object-system patterns, and help establish and refine a shared vocabulary.
We are looking for position papers discussing the following topics:
Summary of Findings:
Last modified: Thursday, February 22, 2001