Efficient Generation of Error-Inducing Floating-Point Inputs via Symbolic Execution

Floating point is widely used in software to emulate arithmetic over reals. Unfortunately, floating point leads to rounding errors that propagate and accumulate during execution. Generating inputs to maximize the numerical error is critical when evaluating the accuracy of floating-point code. In thi...

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Bibliographic Details

Published in:	2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE) pp. 1261 - 1272
Main Authors:	Guo, Hui, Rubio-Gonzalez, Cindy
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.10.2020
Subjects:	catastrophic cancellation floating-point roundoff errors symbolic execution testing
ISSN:	1558-1225
Online Access:	Get full text
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