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ABSTRACT
<p>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.</p>
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CITATION
Frank Charron, Jeffrey Voas, Gary McGraw, Keith Miller, Michael Friedman, "Predicting How Badly "Good" Software Can Behave", IEEE Software, vol. 14, no. , pp. 73-83, July/August 1997, doi:10.1109/52.595959
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