Abstract
This paper discusses software reliability growth models (SRGMs) based on integrable difference equations, which are derived from the original nonhomogeneous Poisson process models by using Hirota’s bilinearization methods. After that, goodness-of-fit comparisons of our discrete models with existing deterministic discrete models are performed by using actual data sets. Further, we disucss discrete optimal software release problems under simultaneous cost and reliability requirements based on our discrete SRGMs.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Systems Assurance Engineering and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
