Statistical Inference of Software Performance Models for Parametric Performance Completions

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Executive Summary

Software Performance Engineering (SPE) enables software architects to ensure high performance standards for their applications. However, applying SPE in practice is still challenging. Most enterprise applications include a large software basis, such as middleware and legacy systems. In many cases, the software basis is the determining factor of the system's overall timing behavior, throughput, and resource utilization. To capture these influences on the overall system's performance, established performance prediction methods (model-based and analytical) rely on models that describe the performance-relevant aspects of the system under study.

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