Collaborative Proposal: SoD-TEAM: Representations for a Science of Design

摘要0613840/Sullivan and 0613845/GriswoldU of VA/U of Cal SDTITLE：Collaborative Proposal：SoD-TEAM：Representations for a Science of Design我们对软件设计的理解还不足以实现新软件密集型系统的经济高效生产，无论是商业规模还是超大规模（ULS）系统，都是政府和行业的优先事项。新的设计方法是不够的。还需要一门研究设计背后现象的科学。基于软件工程和金融经济学知识的整合，这样一门科学的要素似乎触手可及。本项目的一个前提是，设计活动的技术和经济结果存在根本的不确定性，因此设计和设计活动必须考虑到并利用这种风险。软件工件、过程和行业结构设计中的模块化是一种关键方法。该项目旨在开发和评估模块化系统设计的价值导向的科学方法，以提供所需的知识，显着降低当前软件实践的经济效率低下。具体目标包括：开发方法来表示设计结构在许多规模的基础上，鲍德温和克拉克的设计规则的概念;映射模块化设计结构的经济价值使用期权理论;和设计实用的方法来开发和评估建筑战略的商业规模和超大规模的系统。

ABSTRACT0613840/Sullivan and 0613845/GriswoldU of VA/U of Cal SDTITLE: Collaborative Proposal: SoD-TEAM: Representations for a Science of DesignOur understanding of software design does not yet suffice to enable economically efficient production of new software-intensive systems, either commercial-scale or the ultra-large-scale (ULS) systems emerging as priorities for government and industry. New design methods are not enough. Also needed is a science of the phenomena underlying design. Elements of such a science appear within reach, based on the integration of knowledge from software engineering and financial economics. A premise of this project is that there is essential uncertainty in the technical and economic outcomes of design activities, therefore designs and design activities must be engineered to account for and exploit this risk. Modularity in the design of software artifacts, processes, and industry structures is one key approach. This project aims to develop and evaluate value-oriented scientific approaches to modular system design in order to provide the knowledge needed to significantly reduce the economic inefficiency of current software practices. Specific goals include the following: developing methods to represent design structures at many scales, based on the notion of design rules of Baldwin and Clark; mapping modular design structures to economic value using options theory; and devising practical ways to develop and assess architectural strategies for both commercial-scale and ultra-large-scale systems.