Title :
Predicting how badly “good” software can behave
Author :
Voas, Jeffrey ; Charron, Frank ; McGraw, Gary ; Miller, Keith ; Friedman, Michael
Author_Institution :
Reliable Software Technol., Sterling, VA, USA
Abstract :
Using fault injection and failure-tolerance measurement with ultrarare inputs, the authors create on automated software environment that can supplement traditional testing methods. Applied to four case studies, their methods promise to make software more robust
Keywords :
program testing; software fault tolerance; software tools; automated software environment; failure-tolerance measurement; fault injection; ultrarare inputs; Automatic testing; Computer industry; Fault tolerant systems; Robustness; Software engineering; Software measurement; Software quality; Software safety; Software testing; Software tools;
Journal_Title :
Software, IEEE
