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Abstract: One of the greatest problems associated with embedded control software is knowing how to gracefully handle state corruption that gradually builds up after continuous execution of the software. Our paper presents: (1) an empirical technique for assessing how frequently such systems should be rebooted, and (2) an empirical technique for determining which portions of the state create the greatest safety risks if they are corrupted. Armed with this information, developers and certifiers can create... (Update)
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BibTeX entry: (Update)
@misc{ voas-predicting,
author = "J. Voas and F. Charron",
title = "Predicting When to Reboot "Continuously Operating" Systems",
url = "citeseer.ist.psu.edu/86766.html" }
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