A Reliability Study of the Software Reliability Growth Model Assuming Uncertain Operating Environments and Dependent Failures  
Author Da Hye Lee


Co-Author(s) In Hong Chang;  Hoang Pham


Abstract Due to the COVID-19 outbreak, various industries are attempting digital transformation. Software's role in digital transformation is critical. In particular, since it is used in various industries, the reliability of software is a very important issue. For example, in the healthcare industry, software is used to provide
healthcare to people. If there is a problem with the reliability of the software, incorrect medical information may be provided. In addition, software is widely used in mobility, aircraft, and military systems etc. Software reliability issues result in personal injury as well as financial loss. There are many prior studies on software reliability. The software reliability growth model (SRGM) is used to measure the reliability of software. In this study, we propose a new software reliability growth model that
assumes dependent failures and uncertain operating environments. In addition, we propose a sequential probability ratio test (SPRT) method that can efficiently test software reliability using the proposed model.


Keywords Software reliability, dependent failures, uncertain operating environments, sequential probability ratio test
    Article #:  DSBFI23-6
Proceedings of 2nd ISSAT International Conference on Data Science in Business, Finance and Industry
January 8-10, 2023 - Da Nang, Vietnam