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Dynamic variability approaches for the development of systems-of-systems software architectures


The current trend where software-intensive systems become more and more complex and dynamic require of new design and development methods able to address the diversity of changing scenarios, maintenance operations, and handle context-data more efficiently than before. Today, the need to count with good reference architecture suitable to describe the major functional areas of systems-of-systems (a system composed by other systems or sub-systems) is a major challenge for the Systems Engineering discipline. However, the diversity of software that has to be integrated with proprietary middleware and the need to coordinate all these systems for handling critical operations is still hard, as many of the daily maintenance operations must be done manually. In this light, context feature modeling and dynamic variability techniques offer a good choice for: (i) representing the context-data critical software-intensive systems often manage, and (ii) providing means to support the diversity of runtime scenarios required for their daily operations. Consequently, this proposal focus on investigating how variability modeling approaches can be represented in systems-of-systems reference architectures and which dynamic variability techniques become more suitable to deal with evolution and change scenarios of critical systems-of-systems daily operations. (AU)

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