This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Predicting How Badly "Good" Software Can Behave
July/August 1997 (vol. 14 no. 4)
pp. 73-83

Using fault injection and failure-tolerance measurement with ultrarare inputs, the authors created an automated software environment that can supplement traditional testing methods. Applied to four case studies, their methods promise to make software more robust.

Citation:
Jeffrey Voas, Frank Charron, Gary McGraw, Keith Miller, Michael Friedman, "Predicting How Badly "Good" Software Can Behave," IEEE Software, vol. 14, no. 4, pp. 73-83, July-Aug. 1997, doi:10.1109/52.595959
Usage of this product signifies your acceptance of the Terms of Use.