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Published May 24, 2023 | Version v1.0
Conference paper Open

Reducing the Memory Footprint of IFDS-based Data-Flow Analyses Using Fine-Grained Garbage Collection(Artifact)

Authors/Creators

  • 1. University of New South Wales Sydney

Description

This is the artefact of our paper titled "Reducing the Memory Footprint of IFDS-based Data-Flow Analyses Using Fine-Grained Garbage Collection". It includes a docker image and a READEME file.

Files

README.md

Files (2.0 GB)

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md5:2d289a4c4317a7b8162974a7c36e613f
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md5:cc585b0a528dc80f201fb15c47b959eb
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