FUSION: A Cloud-Based Framework for Integrated Software-Hardware Reliability Assessment Using Advanced Analytics and RBDs  
Author Kazuhira Okumoto

 

Co-Author(s) Hoang Pham

 

Abstract As artificial intelligence, automation, and robotics become increasingly integral to modern systems, ensuring the reliability of both software and hardware components is paramount. Existing models primarily address software defects during development, leaving a critical gap in operational-phase reliability assessment. Similarly, while hardware reliability is well-studied, integrated models that encompass both software and hardware are limited. This paper introduces FUSION, a cloud-based tool designed to bridge this gap by aligning software failure rates with hardware reliability models, creating a unified framework for operational-phase reliability analysis. FUSION leverages advanced analytics and reliability block diagrams (RBDs) to provide comprehensive system evaluations. Key contributions include: (1) the development of an integrated software-hardware reliability model, (2) the implementation of automated reliability analysis algorithms, and (3) the creation of a digital tool for system-level reliability assessment. By integrating these elements, FUSION enhances reliability analysis, enabling practitioners to improve system resilience, user satisfaction, and operational efficiency

 

Keywords Cloud-Based Digital Reliability Tools, Operational-Phase Analysis, Software-Hardware Integrated System Reliability, Reliability Block Diagrams
   
    Article #:  RQD2025-25
 

Proceedings of 30th ISSAT International Conference on Reliability & Quality in Design
August 6-8, 2025