Architecture-based runtime software evolution
Proceedings of the 20th international conference on Software engineering
Model-based adaptation for self-healing systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
An Architecture-Based Approach to Self-Adaptive Software
IEEE Intelligent Systems
The Vision of Autonomic Computing
Computer
A survey of autonomic communications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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Researchers and engineers have been studying self-adaptation for over a decade, which has resulted in a vast body of knowledge. Nevertheless, as technology progresses and software systems are increasingly integrated, new challenges emerge. Among these challenges are the need for new theoretical models for self-adaptation, methods to verify and validate self-adaptive systems, and disciplined engineering approaches to support decentralization of control in self-adaptive systems. Tackling these challenges requires a cross-disciplinary approach. The goal of this special issue is to provide an overview of the state of the art in the field of self-adaptive software systems. From 61 submission, 13 papers were selected for publication. These papers demonstrate that the integration of different research fields that is required to tackle the challenges in engineering self-adaptation is underway. We offer the papers of this special issue as a benchmark on the current state of the art, and an exposition of key ideas and directions for further work.