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Demo: Dynamic Adaptation of Architectures to Address Performance and Behavioral Constraints

Student: Eric Dashofy

Advisor: Richard N. Taylor

Abstract: As software systems become more pervasive and more critical, expectations of reliability and performance increase as well. Software engineers must manage the tension between providing continuous evolution of their software products (in terms of new features, performance upgrades, security fixes, etc.) and minimizing downtime. 24x7 uptime is an increasingly important constraint for many critical systems (such as aircraft and space systems), and a desirable feature for all systems. To achieve this level of reliability while allowing for evolution, systems will need to be dynamically evolved at run-time. We present an approach and tools that assist software engineers in making such run-time changes at the level of a software system's architecture, based on methods that foster robust, loosely-coupled, flexible system design and development.

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