Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/108008
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Type: Conference paper
Title: Speeding up the proof strategy in formal software verification
Author: Wagner, M.
Citation: - Proceedings of the 2016 Genetic and Evolutionary Computation Conference Companion, 2016 / Friedrich, T. (ed./s), pp.1137-1138
Publisher: ACM press
Issue Date: 2016
ISBN: 9781450343237
Conference Name: Genetic and Evolutionary Computation Conference (GECCO) (20 Jul 2016 - 24 Jul 2016 : Denver, CO)
Editor: Friedrich, T.
Statement of
Responsibility: 
Markus Wagner
Abstract: The functional correctness of safety- and security-critical software is of utmost importance. Nowadays, this can be achieved through computer assisted verification. While formal verification itself typically poses a steep learning-curve for anyone who wants to apply it, its applicability is further hindered by its (typically) low runtime performance. With the increasing popularity of algorithm parameter tuning and genetic improvement, we see a great opportunity for assisting verification engineers in their daily tasks.
Keywords: Formal software verification; search-based software engineering; runtime improvement
Rights: © 2016 ACM
DOI: 10.1145/2908961.2931690
Published version: http://dx.doi.org/10.1145/2908961.2931690
Appears in Collections:Aurora harvest 3
Computer Science publications

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