1991 | OriginalPaper | Chapter
Reliability Assessment Measurement for Redundant Software Systems
Authors : Jun Hishitani, Shigeru Yamada, Shunji Osaki
Published in: Stochastic Processes and their Applications
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
It is important to make a software system more reliable. We discuss reliability assessment for redundant software systems developed by multiversion programming, i.e., N-version programming and recovery blocks systems, during the operation phase. In this paper, the reliability assessment measures such as software reliability function, hazard rate function, and MTTF (mean time to failure) are obtained by using two software reliability growth models, i.e., Jelinski-Moranda and NHPP models. Also the results of reliability assessment based on the two software reliability growth models are numerically compared for each redundant software system.