Using Software Reliability Models to Predict Field Failure Rates in Electronic Switching Systems
01 January 1988
Measuring software reliability is useful determination of a piece of software's readiness for deployment, and also for planning the resources needed to deal with customer problems once the software is in the field. For AT&T's large electronic switching systems, having several million total lines of source code and requiring extreme reliability, the measurement of software reliability is very important. This paper discusses some research into the application of a particular model, the "Logarithmic Poisson Execution Time Reliability Model", developed by J. Musa and K. Okumoto [1][2], to early field application of electronic switching systems.