SAS messaging interfaces can help you meet the challenges of integrating the processes in your service-oriented architecture (SOA). Messaging is a key component of SOA, and SAS application messaging allows you to leverage the power of SAS across the enterprise and beyond. SAS messaging works with various third-party messageoriented middleware (MOM) offerings, allowing loosely coupled processes to be integrated across many organizational boundaries. This paper demonstrates how to use SAS messaging interfaces and provides examples of sending and receiving messages, message queue polling, and publishing to a queue. Increase your return on investment by integrating more processes in your SOA with SAS messaging.

This paper argues that enterprise scale information systems integration should be driven by business value propositions rather than system level requirements. It reviews the existing literature of value and presents a summary of the issues and insights. A study of attitudes and perceptions from an enterprise system vendor organisation is presented. The study uses cognitive mapping to analyse the data and grounded theory to derive the concept of value proposition as a suitable concept for comprehending integration. The concept is further developed from a synthesis of the issues from literature with the results. The determination of a value proposition is argued to be a process of defining the consumer and providing perspectives. The provider perspective of value proposition is shown to be competency based whilst the consumer is results oriented. Discussion of the implications of value proposition driven integration projects leads onto recommendations for industry and implications for further academic research.

This chapter examines the issues surrounding the development of adaptive evolutionary systems by evaluating the characteristics of contemporary development paradigms. It categorises these characteristics as advantages or limitations with respect to the purpose of servicing adaptive evolutionary systems’ requirements. The chapter considers the evolution of development paradigms and concludes that a key limitation in each case has been the preoccupation with addressing the shortcomings of the previous paradigm’s implementation. The maturity of the paradigm is seen as a significant element in determining what the current research issues for that paradigm will be and this observation is used to recommend the line of development that should be taken to avoid recurrent pitfalls. The issues extracted are structured into a framework for the evaluation of any given approach with respect to its suitability for the development of adaptive evolutionary systems. Recommendations are given for future work including recommendations outside the accepted sphere of information systems research.

No abstract

No abstract