SoD: Early Predictive Design Evaluation for Software

[0438929] mary Shaw, Ashish Arora， Shawn butlercmu软件的早期预测设计评估本研究寻求在实现设计的代码不可用的情况下，为分析软件密集型系统的设计建立科学的基础。这是在系统设计早期的情况，当必须做出深刻影响执行的决策时；在早期设计阶段更改这些决策要比在实现生成运行代码之后更改更容易，成本也更低。通过大大提高软件设计人员在不实际检查代码的情况下预测实现属性的能力，这项工作使设计人员能够更好地理解早期设计决策的后果，并促进设计方案的比较，达到目前不可能实现的程度。通过本研究开发的分析技术的共同主线是预测实现的属性，以确定具有特定首选项集的设计对客户端的价值。这些技术利用经济学模型来解释与预测和未来用户需求有关的不确定性。目前正在开发两种特定任务的预测分析技术：移动设备应用程序套件的动态重新配置以满足不断变化的用户需求，以及多版本系统未来版本的缺陷概要预测。此外，本研究还探讨了这类预测评估的统一框架

ABSTRACT0438929Mary Shaw, Ashish Arora, Shawn ButlerCMUEarly Predictive Design Evaluation for SoftwareThis research seeks to establish a scientific basis for analyzing designs of software-intensive systems when the code implementing the designs is unavailable. This is the situation early in system design, when decisions that profoundly affect the implementation must be made; these decisions are much easier and cheaper to change during early design than after implementation has yielded running code. By substantially improving the ability of software designers to predict properties of an implementation without actually inspecting the code, this work enables designers to understand better the consequences of early design decisions and facilitates comparison of design alternatives to a degree not currently possible.The common thread of the analysis techniques developed through this research is prediction of properties an implementation, to determine the value of the design to a client with a particular set of preferences. The techniques draw on models from economics to account for the uncertainties associated with prediction and future user needs. Predictive analysis techniques for two specific tasks are being developed: dynamic reconfiguration of mobile device application suites to satisfy changing user needs and defect profile prediction for future releases of multi-release systems. Further, the research explores a unified framework for predictive evaluations of this type