Akili Interactive Labs, Inc. (20240256430). SYSTEMS AND METHODS FOR SOFTWARE DESIGN CONTROL AND QUALITY ASSURANCE simplified abstract
Contents
SYSTEMS AND METHODS FOR SOFTWARE DESIGN CONTROL AND QUALITY ASSURANCE
Organization Name
Inventor(s)
Carl Gottlieb of Fairfax CA (US)
SYSTEMS AND METHODS FOR SOFTWARE DESIGN CONTROL AND QUALITY ASSURANCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240256430 titled 'SYSTEMS AND METHODS FOR SOFTWARE DESIGN CONTROL AND QUALITY ASSURANCE
The abstract describes a design control architecture and software quality assurance system for analyzing stimulus-response patterns in user activity data, particularly in the context of assessing the impact of incremental design changes on quality measures of a software product, such as efficacy, safety, and performance metrics.
- The system processes user activity data using a classifier model to evaluate the effects of design changes on software quality measures.
- Quality measures may include efficacy, safety, and performance metrics associated with features of the software product.
- The software product in question could be a digital health intervention or a software as a medical device product.
Potential Applications: - Quality assurance in software development - Monitoring and improving the effectiveness and safety of digital health interventions - Enhancing the performance of software products through data analysis
Problems Solved: - Providing a systematic approach to evaluating the impact of design changes on software quality measures - Ensuring the efficacy and safety of digital health interventions - Improving overall performance of software products
Benefits: - Enhanced software quality through data-driven analysis - Increased safety and efficacy of digital health interventions - Improved performance metrics for software products
Commercial Applications: Title: "Enhancing Software Quality and Safety in Digital Health Interventions" This technology can be utilized by software development companies, digital health providers, and medical device manufacturers to ensure the quality, safety, and performance of their products, thereby enhancing user experience and compliance with regulatory standards.
Prior Art: Researchers and developers in the fields of software quality assurance, digital health interventions, and medical device software may have explored similar approaches to analyzing user activity data and assessing the impact of design changes on software quality measures.
Frequently Updated Research: Stay updated on advancements in software quality assurance methodologies, data analysis techniques, and regulatory requirements for digital health interventions and medical device software.
Questions about the Technology: 1. How does this system differentiate itself from traditional software quality assurance methods? 2. What are the specific challenges in applying this technology to digital health interventions and medical device software?
Original Abstract Submitted
a design control architecture and software quality assurance system for analyzing stimulus-response patterns in user activity data. a design control architecture and software quality assurance system may process user activity data according to a classifier model to assess an impact of an incremental design change to one or more quality measures of a software product. in accordance with certain embodiments the one or more quality measures may include one or more efficacy, safety, and/or performance metrics associated with one or more features of the software product. in certain embodiments, the software product may comprise a digital health intervention or software as a medical device product.
