一句话：提出队列网络性能模型变异工具 JSIMutate，帮助设计者识别影响系统性能的模型元素。
理解软件系统性能特征对设计备选方案评估至关重要，但系统各元素对响应时间、资源利用率等性能指标的作用与影响难以解释。本文提出 JSIMutate，一种基于排队网络性能模型的工具，通过对模型施加反映可能设计变更的变异，分析这些变异如何改善或恶化系统性能。该工具旨在支持设计者定位对性能有贡献的模型元素，从而更好理解性能结果并指导设计选择。摘要未报告具体实验评估。
Understanding the performance characteristics of software systems is particular relevant when looking at design alternatives. However, it is a very challenging problem, due to the complexity of interpreting the role and incidence of the different system elements on performance metrics of interest, such as system response time or resources utilisation. This work introduces JSIMutate, a tool that makes use of queueing network performance models and enables the analysis of mutations of a model reflecting possible design changes to support designers in identifying the model elements that contribute to improving or worsening the system's performance.