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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Bibliographic Details

Published in:	Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) pp. 245 - 247
Main Author:	Mammadov, Tural
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2023
Subjects:	Behavioral sciences deep learning Machine learning Machine translation Predictive models Reverse engineering security testing Software Software engineering software testing
ISSN:	2574-1934
Online Access:	Get full text
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