Traceability Based Dynamic Metrics as a Tool for Evaluating Partitioning Decisions in Object-Oriented Architecture

本研究探讨了一种评估面向对象软件体系结构预测性能特征的新方法。由于场景表示系统的预期运行时行为，因此可以在设计的早期阶段使用它们来定量预测该行为的各个方面。该方法可以比现有的模拟和可执行设计等方法更早地应用，并且不需要特殊的分析技能。早期评估是一种重要的风险缓解技术，它可以在更大程度上信任分布式系统的运行能力，从而有助于构建分布式系统。研究涉及形式化地定义一套基于场景的度量和相应的系统范围的动态度量模型。定义了一种强类型的可追溯性方案，以支持定义和自动查询性能需求、场景和体系结构组件之间的关系。场景调用率是在典型使用模式的上下文中指定的，并调查场景之间的关系以确定何时应该将性能要求从一个场景传播到另一个场景。开发了一个支持工具，用于捕获度量，并根据来自各种分布式系统的运行时和模拟测量对其进行验证。

This research investigates a new method of assessing predicted performancecharacteristics of Object-Oriented software architectures. As scenariosrepresent the anticipated runtime behavior of a system, they can be used ata very early stage in the design to quantitatively predict aspects of thatbehavior. The proposed approach can be applied earlier than other existingmethods such as simulations and executable designs, and does not requirespecial analytical skills. Early assessment is an important risk mitigationtechnique, that can contribute significantly to the task of building adistributed system with a greater degree of confidence in its ability toperform as required.The research involves formally defining a set of scenario-based metrics anda corresponding system-wide dynamic metrics model. A strongly typedtraceability scheme is defined to support the definition and automatedquerying of relationships between performance requirements, scenarios, andarchitectural components. Scenario invocation rates are specified withinthe context of typical usage patterns, and the relationship betweenscenarios is investigated to determine when performance requirements shouldbe propagated from one scenario to another. A supporting tool is developedand used to capture metrics and validate them against runtime and simulationmeasurements taken from a variety of distributed systems.