The Vision of Autonomic Computing
Computer
Towards Modeling and Reasoning Support for Early-Phase Requirements Engineering
RE '97 Proceedings of the 3rd IEEE International Symposium on Requirements Engineering
A survey of autonomic communications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Goal-Based Modeling of Dynamically Adaptive System Requirements
ECBS '08 Proceedings of the 15th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems
Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs
REV '07 Proceedings of the Second International Workshop on Requirements Engineering Visualization
Self-adaptive software: Landscape and research challenges
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Software Engineering for Self-Adaptive Systems: A Research Roadmap
Software Engineering for Self-Adaptive Systems
Fuzzy Goals for Requirements-Driven Adaptation
RE '10 Proceedings of the 2010 18th IEEE International Requirements Engineering Conference
Awareness requirements for adaptive systems
Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Goal-driven adaptation of internetware
Proceedings of the Second Asia-Pacific Symposium on Internetware
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Internetware is a new paradigm proposed in recent years, which is defined as a kind of software constructed by a set of autonomous software entities distributed over the Internet. The environment where Internetware operates, including the Internet and other physical condition that the domain should hold, changes unexpectedly and comes with uncertainty. So the self-adaptation issue becomes inevitable in terms of dynamically configuring the Internetware. Here come two basic questions: how can we derive the adaptation problem in Internetware and how can we solve this problem with some adaptation mechanisms? In this paper, we focus on the requirements level for solving this problem and propose to use i* framework for modeling requirements of Internetware and deriving the adaptation problem from the i* models. To solve the adaptation problem, we provide a synergy approach involving i* models and widely accepted self-adaptation process---the MAPE loop, and apply ECA (3-tuple of ) to present the rationale for reconfiguration decisions.