SoD: Early Predictive Design Evaluation for Software

软件的早期预测设计评估这项研究旨在为分析软件密集型系统的设计建立一个科学的基础，当实现设计的代码不可用时。这是系统设计早期的情况，必须做出深刻影响实现的决策;在早期设计中更改这些决策比在实现产生运行代码之后更容易和更便宜。通过实质性地提高软件设计者的能力来预测实现的属性，而无需实际检查代码，这项工作使设计者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，以达到目前不可能的程度。以确定设计对具有特定偏好集的客户的价值。这些技术利用经济学模型来解释与预测和未来用户需求相关的不确定性。目前正在开发两项具体任务的预测分析技术：动态重新配置移动终端应用程序套件，以满足不断变化的用户需求，以及预测多版本系统未来版本的缺陷概况。此外，本研究还探索了一个统一的框架，这种类型的预测评估

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