A User-Oriented Software Reliability Model

A user-oriented reliability model has been developed to measure the reliability of service that a system provides to a user community. It has been observed that in many systems, especially software systems, reliable service can be provided to a user when it is known that errors exist, provided that...

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Bibliographic Details
Published inIEEE transactions on software engineering Vol. SE-6; no. 2; pp. 118 - 125
Main Author Cheung, R.C.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.1980
IEEE Computer Society
Subjects
Analysis
Application software
Business community
Computer bugs
Costs
Failure
Frequency distribution
Hardware
Probability
Profiles
Reliability
Self-metric software
Sensitivity
Sensitivity analysis
Software
Software measurement
Software reliability
software reliability model
Software systems
Testing
user profile
User profiles
Users
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Summary:A user-oriented reliability model has been developed to measure the reliability of service that a system provides to a user community. It has been observed that in many systems, especially software systems, reliable service can be provided to a user when it is known that errors exist, provided that the service requested does not utilize the defective parts. The reliability of service, therefore, depends both on the reliability of the components and the probabilistic distribution of the utilization of the components to provide the service. In this paper, a user-oriented software reliability figure of merit is defined to measure the reliability of a software system with respect to a user environment. The effects of the user profile, which summarizes the characteristics of the users of a system, on system reliability are discussed. A simple Markov model is formulated to determine the reliability of a software system based on the reliability of each individual module and the measured intermodular transition probabilities as the user profile. Sensitivity analysis techniques are developed to determine modules most critical to system reliability. The applications of this model to develop cost-effective testing strategies and to determine the expected penalty cost of failures are also discussed. Some future refinements and extensions of the model are presented.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0098-5589
1939-3520
DOI:10.1109/TSE.1980.234477