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An Approximation-Based Abstract Interpretation Framework for Formal Verification of Floating-Point Programs

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4 Author(s)
Thai, V.D. ; HCMC Urn. of Tech., Ho Chi Minh City, Vietnam ; Quan, T.T. ; Le, T.V. ; Ngo, B.T.

Formal verification of programs involved with floating-point data type still remains a tough problem nowadays. One of the major problems faced in this area is how to reflect the rounding error caused by IEEE standard floating-point processing for verification. In this paper we present an approximation approach which basically converts all floating-point data objects into corresponding integer values. It is carried by some scale operations, which are shown equivalent to a consistent Abstract Interpretation. We have also developed a Web-based verification system to check programming works submitted by students. Experimental results show that the learning interests of students have been significantly improved since floating-point programming problems were supported in the system.

Published in:

Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2012 IEEE RIVF International Conference on

Date of Conference:

Feb. 27 2012-March 1 2012