UnGoML: Automated Classification of unsafe Usages in Go-Reference-Cited by-同舟云学术

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UnGoML: Automated Classification of unsafe Usages in Go

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)
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Author:

Wickert Anna-Katharina¹,Damke Clemens²,Baumgärtner Lars¹,Hüllermeier Eyke³,Mezini Mira⁴

Affiliation:

1. Technische Universität Darmstadt,Software Technology Group,Darmstadt,Germany

2. Institute of Informatics University of Munich,Munich,Germany

3. University of Munich,Munich Center for Machine Learning Institute of Informatics,Munich,Germany

4. Technische Universität Darmstadt,Hessian Center for Artificial Intelligence (hessian.AI) National Research Center for Applied Cybersecurity ATHENE Software Technology Group,Darmstadt,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10173934/10173935/10174087.pdf?arnumber=10174087

Reference47 articles.

1. How powerful are graph neural networks?;xu;International Conference on Learning Representations (ICLR),2019

2. Interrater reliability: the kappa statistic

3. Deep sets;zaheer;Advances in Neural Information Processing Systems 30 Annual Conference on Neural Information Processing Systems (NeurIPS),2017

4. Evaluating attribution for graph neural networks;sanchez-lengeling;Advances in Neural Information Processing Systems 33 Annual Conference on Neural Information Processing Systems (NeurIPS),2020

5. Deep learning based vulnerability detection: Are we there yet;chakraborty;Transactions on Software Engineering (TSE),2021

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