Title :
Evaluation of competing software reliability predictions
Author :
Abdel-ghaly, Abdalla A. ; Chan, P.Y. ; Littlewood, Bev
Author_Institution :
Center for Software Reliability, City Univ., London, UK
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; partial solution; reliability growth context; software reliability models; software reliability predictions; Analytical models; Bayesian methods; Maximum likelihood estimation; Predictive models; Random variables; Software reliability; Prediction analysis; prediction biasedness and noise; prediction systems; predictive quality; prequential likelihood; software reliability models;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.1986.6313050