SoD-TEAM: Monitoring in Support of Design Science Principles

软件进化，通过维护或更新，需要在软件行业的产品生命周期中付出最大的努力。随着该行业希望更好地响应客户需求，这一努力正在增加。大规模定制及其相关理论为生产高质量、低成本、大批量生产的工艺产品提供了指导。然而，设计理论并没有为软件演化所需的购买后定制提供指导。这个项目通过解决如何使软件应用程序的行为与需求保持一致来为设计科学做出贡献。本研究中采用的需求监控(ReqMon)方法通过动态监控个人用户目标来指导何时以及软件的哪些方面的发展。支持认知障碍(CI)等残疾人士的辅助技术(AT)是那些需要个性化软件的先锋。通过为临床医生和设计者提供必要和及时的反馈，以持续适应和重新设计软件密集型AT，监测他们在使用AT期间的个人用户目标可能会减少AT的常见放弃。需要一门新的个性化设计科学来改进AT系统的设计、使用、功能和稳定性，以帮助需要AT充分参与社会的庞大且不断增长的个人人口。本研究正在开发用户目标监控工具和理论，以支持特定的动态个性化AT和更广泛的软件演化。这项研究将提供两点贡献。首先，监控方法为了解软件用户动态变化的需求提供了大致的解决方案。其次，大众个性化软件开发(MPSD)理论为分析大众市场中持续的个性化设计提供了一个框架。MPSD建议了数字产品购买后定制的策略。

Software evolution, through maintenance or updates, requires the greatest effort in the software industry's product life-cycle. This effort is increasing with the industry's desire to be more responsive to customer needs. Mass customization, and related theories, provides guidance for producing high quality, low cost, mass-produced craft products. The design theories, however, provide no guidance for post-purchase customization, as required of software evolution. This project contributes to a Science of Design by addressing how to keep a software application's behavior in line with the requirements. The Requirements Monitoring (ReqMon) approach taken in this research provides guidance on when and what aspects of software should be evolved by dynamically monitoring individual user goals.Assistive technologies (AT), which support individuals with disabilities such as cognitive impairments (CI), are in the vanguard of those that require individually personalized software. Monitoring individual user goals during their use of AT may mitigate the commonplace abandonment of AT, by providing clinicians and designers the necessary and timely feedback for continuous adaptation and redesign of software-intensive AT. A new, personalized design science is needed to improve the design, use, function and stability of AT systems to assist the large and growing population of individuals that required AT to fully participation in society.This research is developing user goal monitoring tools and theory in support of dynamically personalizing AT specifically, and software evolution more generally. This research will offer two contributions. First, the monitoring method provides an approximate solution to understanding the dynamically changing needs of software users. Second, the mass-personalized software development (MPSD) theory provides a framework for analyzing continuously personalized designs in mass markets. MPSD suggests strategies for post-purchase customization of digital products.