Using a dynamic mathematical model that incorporates individual activity levels, message importance, leader‑member relationship strength, time decay, and peer influence, this study predicts the number of WeChat group members who reply “got it” to a leader’s notification, validated through simulations.
This article explains how to combine dynamic and static performance testing models in FunTester by adding asynchronous console commands to control thread‑pool scaling and QPS adjustments, providing step settings, incremental changes, and graceful termination through simple key inputs.
Integrating a dynamic load‑testing model into the OKR workflow dramatically streamlines performance testing by allowing flexible pressure control, manual intervention at safe thresholds, and reducing the fatigue and errors associated with traditional static ramp‑up strategies.
The 2021 year‑end summary details FunTester’s rapid growth, the expansion of its public account, major performance upgrades reaching over 100 k QPS, the design of a distributed testing framework, dynamic load models, log‑replay innovations, and the author’s deep dive into Go, Java and Groovy.
This article provides a comprehensive overview of UML, explaining its purpose, core elements, diagram classifications, static and dynamic models, and the typical modeling process, enabling readers to understand, create, and interpret UML diagrams across software development stages.
