SBIR Phase I: Value-Driven Design Debt Management for Contemporary Software Systems

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力将设计一个适用于现代，分布式，动态软件系统的价值驱动的设计债务管理系统。该系统将精确定位和量化设计债务，并推荐最有效的减债策略。该系统还将支持管理人员和设计人员的风险分析，帮助他们选择防止产品性能严重衰退的策略，并最大限度地提高产品价值，生产力和质量。这个小企业创新研究（SBIR）第一阶段项目提供了一个价值驱动的设计债管理系统，该系统（1）基于期权理论、康威定律和设计原则，利用知识图来捕获和管理隐式、异构和分布式实体和关系，发现并实证验证现代分布式和动态类型软件系统中的设计债;（2）发现多个设计反模式之间的内在和隐含关系，并创建一个算法来优先考虑和推荐最有效的债务减少策略;（3）弥合开发与管理之间的差距，使用户能够模拟重构的结果，并通过结合蒙特卡罗模拟和数据评估其经济影响，马修斯期权估值，为每个建议的重构策略。这些研究和开发活动的成果将导致第一个专门用于管理设计和架构级别的技术债务的框架，该框架植根于金融和设计理论，并适用于现代分布式和动态类型的软件系统。该项目有可能从根本上改变软件的管理，通过关注其经济价值来支持更好的知情，数据驱动的决策。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will design a value-driven design debt management system applicable to modern, distributed, dynamic software systems. This system will pinpoint and quantify design debt and recommend the most effective debt-reduction strategies. This system will also support risk analyses for managers and designers, helping them choose a strategy that prevents severe decay in product performance, and maximize product value, productivity, and quality. This Small Business Innovation Research (SBIR) Phase I project provide a value-driven, design-debt management system that (1) discovers and empirically validates design debt in modern distributed and dynamically-typed software systems based on options theory, Conway's law, and design principles, leveraging a knowledge graph to capture and manage implicit, heterogeneous, and distributed entities and relations; (2) discovers the intrinsic and implicit relations among multiple design anti-patterns and creates an algorithm to prioritize and recommend the most effective debt-reduction strategies; and (3) bridges the gap between development and management, enabling a user to simulate refactoring outcomes and evaluate their economic implications by combining Monte Carlo simulation and Datar-Mathews option valuations, for each proposed refactoring strategy. The outcome of these research and development activities will lead to the first framework specialized for managing technical debt at the design and architecture level, rooted in financial and design theory, and applicable to modern distributed and dynamically typed software systems. This project has the potential to fundamentally change the management of software, supporting better informed, data driven decisions by focusing on their economic values.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.