arXiv:1105.0069cs.PL
Context-Oriented Programming: A Programming Paradigm for Autonomic Systems
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Abstract
Dynamic software adaptability is one of the central features leveraged by autonomic computing. However, developing software that changes its behavior at run time adapting to the operational conditions is a challenging task. Several approaches have been proposed in the literature to attack this problem at different and complementary abstraction levels: software architecture, middleware, and programming level. We focus on the support that ad-hoc programming language constructs may provide to support dynamically adaptive behaviors. We introduce context-oriented programming languages and we present a framework that positions the supported paradigm in the MAPE-K autonomic loop. We discuss the advantages of using context-oriented programming languages instead of other mainstream approaches based on dynamic aspect oriented programming languages and present a case study that shows how the proposed programming style naturally fits dynamic adaptation requirements. Finally, we discuss some known problems and outline a number of open research challenges.
Some other, related ideas & paradigms: Context-Oriented Programming: https://arxiv.org/pdf/1105.0069.pdf Feature-Oriented Software Development: https://en.wikipedia.org/wiki/Feature-oriented_programming
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