Hi Ankita,
This is the explaination
Adaptive Web Service model is an enhanced version of existing Web Service model within the Web Dynpro UI framework. Adaptive Web Service, in short AWS Model, not only allows modeling applications using Web Services as data source but also supports adaptability like Adaptive RFC.
Comparison
The motive of Adaptive Web Service Model was to over come some of the short comings of the older Web service model. The key differences between the two models are
• Adaptability: In contrast to Old Web Service Model, in AWS, the metadata is re-loaded at runtime from the WSDL. With this, the runtime is capable of adapting to the compatible changes of the WSDL (like field extensions) thus avoiding the need for re-import of the model and re-deployment of application.
• Configuration: HTTP Proxy settings (like host and port) in AWS Model are configurable and are not tightly coupled with the imported model. This eliminates the need of additional entities such as logical port in AWS Model. Additionally, like Adaptive RFC Model, AWS allows maintaining configurable destinations for different Web Service providers. Unlike Old Web Service Model destinations could be configured after deployment without modifying the Web Dynpro application.
• Authentication: Accessing authenticated WSDL in AWS is now possible by providing the required user credentials during import process. While in Old Web Service Model it was only possible by importing the same after saving locally on file system.
• Renaming: AWS model provides an option for the user to rename the model classes to more human readable names, during the import process. It also helps to resolve the name conflicts, if any.
• Structure Complexity: Support for nested complex types is available with AWS Model.
• Security: AWS Model also supports advanced security features like non-SAP SSO authentication tickets, WS SOAP header etc.
regards
Sumit
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