Conference paper Open Access
Minseok Jeon; Myungho Lee; Hakjoo Oh
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.4040341</identifier> <creators> <creator> <creatorName>Minseok Jeon</creatorName> <affiliation>Korea University</affiliation> </creator> <creator> <creatorName>Myungho Lee</creatorName> <affiliation>Korea University</affiliation> </creator> <creator> <creatorName>Hakjoo Oh</creatorName> <affiliation>Korea University</affiliation> </creator> </creators> <titles> <title>Learning Graph-based Heuristics for Pointer Analysis without Handcrafting Application-Specific Features</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2020</publicationYear> <dates> <date dateType="Issued">2020-09-22</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="ConferencePaper"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4040341</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4040340</relatedIdentifier> </relatedIdentifiers> <version>1</version> <rightsList> <rights rightsURI="https://opensource.org/licenses/MIT">MIT License</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p><strong>Graphick</strong></p> <p><strong>Graphick </strong>is&nbsp;a new technique for automatically learning graph-based heuristics for pointer analys. We implemetned Graphick on top of Doop and used it to learn graph-based heuristics for object sensitivity and heap abstraction. This is the artifact (VirtualBox image) of our technique <strong>Graphick</strong>&nbsp;in the paper &quot;Learning Graph-based Heuristics for Pointer Analysis without Handcrafting Application-Specific Features&quot;. For more&nbsp;details,&nbsp;please read our paper.</p></description> </descriptions> </resource>
All versions | This version | |
---|---|---|
Views | 166 | 166 |
Downloads | 52 | 52 |
Data volume | 136.1 GB | 136.1 GB |
Unique views | 147 | 147 |
Unique downloads | 38 | 38 |