Abstract
A growing number of software systems operate in uncertain environments. They benefit from an ability to autonomously adapt to changes during runtime without suffering from a lowered quality of service. Several different architectural approaches to self-adaptive software exist with their sources of inspiration varying from psychology to mathematics. In this literature survey, we study and evaluate four types of approaches: architecture-based, control-based, learning-based and awareness-based approaches. Our aim is to clarify whether a unified, general approach to computational self-adaptivity is possible and what it could look like. We conclude that a general solution should combine aspects of all of the studied approaches.
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Huuhtanen, A., Mäkitalo, N., Mikkonen, T. (2018). Architecting Self-adaptive Software Systems. In: Pautasso, C., Sánchez-Figueroa, F., Systä, K., Murillo RodrÃguez, J. (eds) Current Trends in Web Engineering. ICWE 2018. Lecture Notes in Computer Science(), vol 11153. Springer, Cham. https://doi.org/10.1007/978-3-030-03056-8_6
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DOI: https://doi.org/10.1007/978-3-030-03056-8_6
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