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Abstract / Description of output
Presenting large formal instruction set models as executable functions makes them accessible to engineers and useful for less formal purposes such as simulation. However, it is more difficult to extract information about the behaviour of individual instructions for reasoning. We present a method which combines symbolic evaluation and symbolic execution techniques to provide a rule-based view of instruction behaviour, with particular application to automatic test generation for large MIPS-like models.
Original language | English |
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Title of host publication | Proceedings of the 16th Conference on Formal Methods in Computer - Aided Design (FMCAD 2016) |
Place of Publication | Mountain View, CA, USA |
Publisher | FMCAD Inc |
Pages | 33-40 |
Number of pages | 8 |
ISBN (Electronic) | 978-0-9835678-6-8 |
ISBN (Print) | 978-1-5386-2692-4 |
DOIs | |
Publication status | Published - 27 Mar 2017 |
Event | 16th Conference on Formal Methods in Computer - Aided Design - Mountain View, United States Duration: 3 Oct 2016 → 6 Oct 2016 http://www.cs.utexas.edu/users/hunt/FMCAD/FMCAD16/ |
Conference
Conference | 16th Conference on Formal Methods in Computer - Aided Design |
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Abbreviated title | FMCAD 2016 |
Country/Territory | United States |
City | Mountain View |
Period | 3/10/16 → 6/10/16 |
Internet address |
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Dive into the research topics of 'Extracting Behaviour from an Executable Instruction Set Model'. Together they form a unique fingerprint.Projects
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Profiles
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Ian Stark
- School of Informatics - Senior Lecturer
- Laboratory for Foundations of Computer Science
- Foundations of Computation
Person: Academic: Research Active