SESep 3, 2018

Adaptive Monitoring: A Systematic Mapping

arXiv:1809.00711v127 citations
Originality Synthesis-oriented
AI Analysis

This provides a comprehensive baseline for researchers and practitioners in adaptive monitoring, though it is incremental as it synthesizes existing work without new empirical results.

The authors conducted a systematic mapping study to analyze and compare existing adaptive monitoring approaches across domains, identifying patterns and research gaps, such as the need for generic software engineering solutions.

Context: Adaptive monitoring is a method used in a variety of domains for responding to changing conditions. It has been applied in different ways, from monitoring systems' customization to re-composition, in different application domains. However, to the best of our knowledge, there are no studies analyzing how adaptive monitoring differs or resembles among the existing approaches. Method: We have conducted a systematic mapping study of adaptive monitoring approaches following recommended practices. We have applied automatic search and snowballing sampling on different sources and used rigorous selection criteria to retrieve the final set of papers. Moreover, we have used an existing qualitative analysis method for extracting relevant data from studies. Finally, we have applied data mining techniques for identifying patterns in the solutions. Conclusions: This cross-domain overview of the current state of the art on adaptive monitoring may be a solid and comprehensive baseline for researchers and practitioners in the field. Especially, it may help in identifying opportunities of research, for instance, the need of proposing generic and flexible software engineering solutions for supporting adaptive monitoring in a variety of systems.

Foundations

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