System and software assurance — rationalizing governance, engineering practice, and engineering economics

Abstract

This paper discusses rationalizing governance, engineering practice, and engineering economics to produce conformant systems that meet their quality attribute targets for system and software assurance in an optimal, cost-effective fashion. It begins with a description of the governance landscape and addresses defining and trading off system quality characteristics, models for assessing the cost and value of software assurance, addressing multi-dimensional risk, and the delivery of value to the organization, its customers, and its stakeholders.

Design and Implementation of Cost-Effective Assurance Engineering Using Wake-Sleep Algorithm-Based WideResNet with Nonlinear Analysis and Topology Integration

“…The authors [8] propose a theoretical framework that outlines the efficient deployment of assurance engineering within the domain of AI systems. This study introduces novel approaches to improve resource consumption efficiency in both training and inference stages.…”