Published May 24, 2023 | Version v1.0

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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md5:7aea4f394092be1425233620b81befb3
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md5:bd3a498e56e2ee14999aa6830fa415ce
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