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In many multi-user software systems, such as online shopping systems, varying workload intensity causes high statistical variance in timing behavior distributions. However, this major impact on timing behavior is often ignored. This paper introduces our approach WITiBA (Workload-Intensity-Sensitive Timing Behavior Analysis) to consider inter-dependencies between concurrent executions of software operations within a distributed system to reduce the standard deviation for succeeding analysis steps. This can be beneficial for analysis methods or simulation methods in terms of tighter confidence intervals, or shorter simulations.