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Software Reliability Models for Computer Implementations — An Empirical Study
Author(s) -
Triantafyllos George,
Vassiliadis Stamatis
Publication year - 1996
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/(sici)1097-024x(199602)26:2<135::aid-spe1>3.0.co;2-z
Subject(s) - microcode , computer science , ibm , reliability (semiconductor) , implementation , software quality , empirical research , software , reliability engineering , software development , programming language , operating system , engineering , statistics , power (physics) , materials science , physics , mathematics , quantum mechanics , nanotechnology
In this paper we report on an empirical study conducted to determine whether existing software reliability models can be used to predict the errors incurred during the design, development and testing phases of the microcode of computer systems. A number of reliability models are reviewed and employed to predict the faults of the microcode development of the IBM 4381 and the IBM 9370 families of computer systems. Through the study of historical defect data from these two systems, we establish an empirical basis for the usefulness of such models in terms of accuracy in the prediction of the expected errors during the development of the microcode of computer systems.