Learning Program Models from Generated Inputs

Recent advances in Machine Learning (ML) show that Neural Machine Translation (NMT) models can mock the program behavior when trained on input-output pairs. Such models can mock the functionality of existing programs and serve as quick-to-deploy reverse engineering tools. Still, the problem of autom...

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Vydané v:	Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) s. 245 - 247
Hlavný autor:	Mammadov, Tural
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2023
Predmet:	Behavioral sciences deep learning Machine learning Machine translation Predictive models Reverse engineering security testing Software Software engineering software testing
ISSN:	2574-1934
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