By Topic

Evaluation of Maintenance Software in Real-Time Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Gay, F.A. ; Department of Advanced Switching Networks, Bell Laboratories

Statistical theory can be applied to data collected by physical fault insertion of small, random fault samples to estimate the critical parameters of software responsible for fault recovery, detection, and resolution in real-time systems. Estimates of the critical parameters can be used to determine if system reliability objectives are satisfied. This method of software evaluation, modified because of the impracticality of selecting and physically inserting truly random fault samples, was verified against a diagnostic/ Trouble Locating Program (TLP) whose critical parameters were known and was then used to evaluate and optimize a new diagnostic/ TLP program of unknown quality. Empirical evidence indicates that there is a close correlation between system performance against real faults and against the selected subset of real faults used for sampling.

Published in:

Computers, IEEE Transactions on  (Volume:C-27 ,  Issue: 6 )