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Replication package for "TacTok: Semantics-aware proof synthesis"

Emily First; Yuriy Brun; Arjun Guha


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  <identifier identifierType="DOI">10.5281/zenodo.4088897</identifier>
  <creators>
    <creator>
      <creatorName>Emily First</creatorName>
      <affiliation>University of Massachusetts Amherst</affiliation>
    </creator>
    <creator>
      <creatorName>Yuriy Brun</creatorName>
      <affiliation>University of Massachusetts Amherst</affiliation>
    </creator>
    <creator>
      <creatorName>Arjun Guha</creatorName>
      <affiliation>University of Massachusetts Amherst</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Replication package for "TacTok: Semantics-aware proof synthesis"</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Formal software verification</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-10-15</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4088897</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy" resourceTypeGeneral="ConferencePaper">10.1145/3428299</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4088896</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;A VirtualBox VM with the results (and scripts to process the results) found in the OOPSLA 2020&amp;nbsp;paper&amp;nbsp;&amp;quot;TacTok: Semantics-Aware Proof Synthesis&amp;quot;. The VM also has the code for running the TacTok tool with pre-trained models.&lt;/p&gt;

&lt;p&gt;Attached is a&amp;nbsp;compressed file with the training examples, `processed.tar.gz`. Note that the VM does not support training models.&lt;/p&gt;

&lt;p&gt;This image has been tested with VirtualBox&amp;nbsp;Version 6.1.12. It requires 3GB RAM. The actual size of the vdi is 24.26GB,&amp;nbsp;and is configured to&amp;nbsp;dynamically allocate&amp;nbsp;storage up to&amp;nbsp;70GB.&lt;/p&gt;

&lt;p&gt;The username is `oopsla` and the password is&amp;nbsp;`oopsla`.&lt;/p&gt;

&lt;p&gt;For processing the results, follow the directions in `/home/oopsla/Documents/evaluation/results_commands.md`.&lt;/p&gt;

&lt;p&gt;For running TacTok, follow the directions in `/home/oopsla/Documents/run_tactok_commands.md`.&lt;/p&gt;

&lt;p&gt;Source code can be found at https://github.com/LASER-UMASS/TacTok&lt;/p&gt;</description>
  </descriptions>
</resource>
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