This poor interface design will sign a death sentence for the component and the service-oriented implementation by tightly coupling the client application with the component, requiring future maintenance of intricate interaction semantics and proprietary interaction context.

Interaction Semantics
Part of the problem is that the mechanism for interacting with a component is different from - and often in some very bizarre ways - any other component. The client application needs costly custom implementation for invocation of the interface of each component. This is reminiscent of Indiana Jones navigating through hidden passageways to find the lost treasure with secret incantations required for entrance to each secret chamber. In their book BPM: the Third Wave (Meghan-Kiffer Press, 2001), Howard Smith and Peter Fingar expanded this thought: "Imagine a world where people speak a language that brilliantly describes the molecular structure of a large object but can't tell you what that object is - or that it's about to fall on you." The reason for failure of component interoperability from this perspective is self-evident.

We remember a recent engagement for the integration of physician practice applications with a hospital IS system that had outlandish interface semantics. Ignoring reasonable practices and embracing the quirks of their implementation, the system required that the patient's first and middle name fields be left blank and the last name field contain the patient's full name. This is just one of the many urban legends of strange system interfaces that litter the IT landscape.

Burden of Context
Another problem of low-level proprietary interfaces is that the client application is pulled into the internal context of the called component. With multiple method invocations for any coarse-grained operation, there is a need to maintain implementation context in the client application in order to provide that context on subsequent method calls. One example of a system from a recent project would require special codes indicating proprietary state and numeric status codes (e.g., code="F", Status="989"), which had no relevance to the client application, to drive the invocation of each operation. Implementation-specific state information was forced onto the client application by the component. The delineation between the relevant context of the interaction (that which is meaningful to both the client and the component) and irrelevant context (the exclusive state information of the component) is often not considered during interface design.

Context in terms of resource references, processing state, and method parameter values are unnecessarily forced into the interface. As the interface grows so does the interaction context. The client application has its own context to maintain and does not need to be burdened with the component's implementation context.

Example: Customer Management System Interface
To illustrate the difficulty presented by exposed low-level interfaces, look at a customer-service application that has a component for customer. With objects for atomic elements of the customer information results in the client application, implementation might look like the following:

customer = CustomerManage.findCustomer("123456789");
customerID = customer.getCustomerID();
addressVector = addressList.findAddresses(customerID)
homeAddress = addressVector.findAddress("Home")
homePhone = homeAddress.getPhone();
shipTo = addressVector.findAddress("Ship To");
shipToZip = shipTo.getZip();

This demonstrates how the client application is pulled into an unnecessary interaction context that it has no concern with.

Designing for Serviceability
Creating a coarse-grained interface that truly embodies a service must be a conscious part of the interface design process. Serviceability comes from an interface that is easy to exploit, straightforward, and has a life span beyond the first version. To discuss these characteristics of coarse-grained service design, we'll borrow the ACID acronym from the transactional processing domain:

How do you design ACID characteristics into your service component interfaces to best ensure successful exploitation in a service-oriented architecture? The best way is by proper modeling of the component interface. Modeling often looks inward. It is easy for programmers to immediately concern themselves with the implementation while the interface and its usage become a background activity. Taking an "outside in" approach to the modeling ensures that consideration is properly given to the continuum of utilization.

Correct modeling takes a top-down approach beginning with the business processes and requirements for the solutions that the component service envisions being exploited in. Correct modeling should begin at the domain level by identifying the business context of the component usage and what business processes would exploit the component. For each business process, identify the use cases or scenarios that demonstrate the various ways the process could be executed. These process use cases lead to specific use cases of component interaction.

This top-down approach ensures that the context of the process is firmly established before design looks inward at the interface and implementation of the component. Although it may seem like overkill, establishing use cases at the domain level will ensure that correct specification of the service is created and future-proofs that component by anticipating all possible usage scenarios.

Proper Service Interface - Customer Management System Interface
Returning to our customer component example, you can see how a proper coarse-grain interface results in a simplified client implementation without the burden of component context or proprietary interaction semantics:

customerdocument =
CustomerManageService.getCustomerDocument("123456789");
homePhone = customerdocument.getHomePhone();
shipToZip = customerdocument.getShiptToZip();

This document-centric interface requires only one service invocation, which returns a document containing all the necessary information the client application requires without the burden of implementation details.

Creating Coarse Grain Implementations
Typically a Web services project focuses primarily on migrating existing application functionality to a Web services interface. The preexisting application can be anything from legacy systems to J2EE Enterprise JavaBeans (EJBs). How do you map this to a coarse-grain service interface? Very seldom will traditional low-level interfaces naturally map to a proper coarse-grained structure. An abstraction layer is required to hide the details of the implementation from the user behind a facade. This abstraction layer encapsulates: