On Improving Deep Learning Trace Analysis with System Call Arguments

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Preprint 01 May 2021Embargo end date: 01 Jan 2021 Canada Publisher:IEEEJournal:2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)Funded by:NSERC | unidentified

Authors: Quentin Fournier; Daniel Aloise; Seyed Vahid Azhari; François Tetreault;

doi: 10.1109/msr52588.2021.00025 , 10.5281/zenodo.4091287 , 10.5281/zenodo.4091286 , 10.48550/arxiv.2103.06915

arXiv: 2103.06915

On Improving Deep Learning Trace Analysis with System Call Arguments

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Abstract

This dataset contains two kernel traces collected with LTTng on an Apache Web Server. For detailed information about the data, please go to the following GitHub repository: https://github.com/qfournier/syscall_args.

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Canada

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Keywords

Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Software Engineering, Trace, Kernel, System Calls, Machine Learning (cs.LG)

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