Evaluation of competing software reliability predictions

1 September 1986

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Software Engineering

Vol. SE-12 (9) , 950-967
https://doi.org/10.1109/tse.1986.6313050

Abstract

Different software reliability models can produce very different answers when called on to predict future reliability in a reliability growth context. Users need to know which, if any, of the competing predictions are trustworthy. Some techniques are presented which form the basis of a partial solution to this problem. Rather than attempting to decide which model is generally best, the approach adopted allows a user to decide on the most appropriate model for each application.

Keywords

SOFTWARE RELIABILITY
PREDICTIVE MODELS
RANDOM VARIABLES
MAXIMUM LIKELIHOOD ESTIMATION
BAYESIAN METHODS
ANALYTICAL MODELS