WiP: Behavior-Based Service Change Detection
2018 IEEE International Conference on Smart Computing (SMARTCOMP)(2018)
摘要
Detecting changes in service interfaces during the application life-cycle is essential for both change analysis and change management. Current approaches focus on structural and semantic changes without considering the actual behavior of a service by inspecting input and output values. This can lead to a selection of unsuitable services during an autonomous service replacement. Although a semantic and structural matching could be successful, the behavior of the selected service could deviate from the replaced service significantly. In this work, we present an architecture that captures and assesses additionally the behavior dimension of services to provide more reliable service replacements.
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关键词
Service Evolution,Change Detection,Machine Learning,Anomaly Detection
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