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» Using likely program invariants to detect hardware errors
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DSN
2008
IEEE
13 years 11 months ago
Using likely program invariants to detect hardware errors
In the near future, hardware is expected to become increasingly vulnerable to faults due to continuously decreasing feature size. Software-level symptoms have previously been used...
Swarup Kumar Sahoo, Man-Lap Li, Pradeep Ramachandr...
ICSE
1999
IEEE-ACM
13 years 9 months ago
Dynamically Discovering Likely Program Invariants to Support Program Evolution
ÐExplicitly stated program invariants can help programmers by identifying program properties that must be preserved when modifying code. In practice, however, these invariants are...
Michael D. Ernst, Jake Cockrell, William G. Griswo...
SIGSOFT
2004
ACM
14 years 5 months ago
Efficient incremental algorithms for dynamic detection of likely invariants
Dynamic detection of likely invariants is a program analysis that generalizes over observed values to hypothesize program properties. The reported program properties are a set of ...
Jeff H. Perkins, Michael D. Ernst
IEEEPACT
2007
IEEE
13 years 11 months ago
Unified Architectural Support for Soft-Error Protection or Software Bug Detection
In this paper we propose a unified architectural support that can be used flexibly for either soft-error protection or software bug detection. Our approach is based on dynamically...
Martin Dimitrov, Huiyang Zhou
DAC
2005
ACM
14 years 6 months ago
IODINE: a tool to automatically infer dynamic invariants for hardware designs
We describe IODINE, a tool to automatically extract likely design properties using dynamic analysis. A practical bottleneck in the formal verification of hardware designs is the n...
Sudheendra Hangal, Naveen Chandra, Sridhar Narayan...