A Information Management Strategy for In-House Clinical Engineering Department Based on Equipment Service Life-Cycle Model

Author(s):  
Chia-Hung Chien ◽  
Fok-Ching Chong ◽  
Cheng-Yi Wang
Author(s):  
Andreas Metzger ◽  
Elisabetta Di Nitto

This chapter sets out to introduce relevant foundations concerning evolution and adaptation of service-oriented systems. It starts by sketching the historical development of software systems from monolithic and mostly static applications to highly-dynamic, service-oriented systems. Then, it provides an overview and more thorough explanation of the various kinds of changes that may need to be faced by service-oriented systems. To understand how such changes could be addressed, the chapter introduces a reference service life-cycle model which distinguishes between evolution, viz. the manual modification of the specification and implementation of the system during design-time, and (self-)adaptation, viz. the autonomous modification of a service-oriented system during operation. Based on the discussion of the key activities prescribed by that life-cycle, the chapter elaborates on the need for agility in both adaptation and evolution of service-oriented systems.


Author(s):  
Antonia Bertolino ◽  
Guglielmo De Angelis ◽  
Antonino Sabetta ◽  
Andrea Polini

Service Oriented Architecture (SOA) is changing the way in which software applications are designed, deployed and maintained. A service-oriented application consists of the runtime composition of autonomous services that are typically owned and controlled by different organizations. This decentralization impacts on the dependability of applications that consist of dynamic services agglomerates, and challenges their validation. Different techniques can be used or combined for the verification of dependability aspects, spanning over traditional off-line testing approaches, monitoring, and on-line testing. In this chapter we discuss issues and opportunities of SOA validation, we identify three different stages for validation along the service life-cycle model, and we overview some proposed research approaches and tools. The emphasis is on on-line testing, which to us is the most peculiar stage in the SOA validation process. Finally, we claim that on-line testing is only possible within an agreed governance framework.


Author(s):  
Andreas Metzger ◽  
Elisabetta Di Nitto

This chapter sets out to introduce relevant foundations concerning evolution and adaptation of service-oriented systems. It starts by sketching the historical development of software systems from monolithic and mostly static applications to highly-dynamic, service-oriented systems. Then, it provides an overview and more thorough explanation of the various kinds of changes that may need to be faced by service-oriented systems. To understand how such changes could be addressed, the chapter introduces a reference service life-cycle model which distinguishes between evolution, viz. the manual modification of the specification and implementation of the system during design-time, and (self-)adaptation, viz. the autonomous modification of a service-oriented system during operation. Based on the discussion of the key activities prescribed by that life-cycle, the chapter elaborates on the need for agility in both adaptation and evolution of service-oriented systems.


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