Paper Info
Title
Integration Of System Dependability And Software Reliability Growth Models For E-Commerce Systems
Abstract
This paper describes how MEADEP [SoHaR00], a system level dependability prediction tool, and SMERFS [Farr93], a software reliability growth prediction. tool can be used together to predict system reliability, availability growth) for complex systems. The Littlewood/Verrall model is used to predict reliability growth from software test data. This prediction is integrated into a system level Markov model that incorporates WAN (Internet) service interruptions, hardware failures and recoveries, redundancy, coverage failures, and capacity. The results of the combined model can be used to predict the contribution of additional testing upon availability, the economic value of additional resting, and a variety of other figures of merit that support management decisions.
Year
DOI
Venue
2000
10.1109/HASE.2000.895437
FIFTH IEEE INTERNATIONAL SYMPOSIUM ON HIGH ASSURANCE SYSTEMS ENGINEERING, PROCEEDINGS
Keywords
Field
DocType
markov processes,software reliability,e commerce,availability,economic value,complex systems,electronic commerce,redundancy,hardware,software testing,figure of merit,application software,complex system,predictive models,internet,markov model
System integration testing,Avionics software,Dependability,Computer science,Real-time computing,Software system,Software reliability testing,Software verification and validation,Software quality,Reliability engineering,Software sizing
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Myron Hecht1607.53
Yutao He2173.04
Herbert Hecht3519.70
Xuegao An420.80