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Title: GitHub - ModelInference/dinv: Distributed invariant mining tool

Open Graph Title: GitHub - ModelInference/dinv: Distributed invariant mining tool

X Title: GitHub - ModelInference/dinv: Distributed invariant mining tool

Description: Distributed invariant mining tool. Contribute to ModelInference/dinv development by creating an account on GitHub.

Open Graph Description: Distributed invariant mining tool. Contribute to ModelInference/dinv development by creating an account on GitHub.

X Description: Distributed invariant mining tool. Contribute to ModelInference/dinv development by creating an account on GitHub.

Opengraph URL: https://github.com/ModelInference/dinv

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daikonWrapperhttps://github.com/ModelInference/dinv/tree/master/daikonWrapper
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dinvRThttps://github.com/ModelInference/dinv/tree/master/dinvRT
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programslicerhttps://github.com/ModelInference/dinv/tree/master/programslicer
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README.mdhttps://github.com/ModelInference/dinv/blob/master/README.md
README.mdhttps://github.com/ModelInference/dinv/blob/master/README.md
TUTORIAL.mdhttps://github.com/ModelInference/dinv/blob/master/TUTORIAL.md
TUTORIAL.mdhttps://github.com/ModelInference/dinv/blob/master/TUTORIAL.md
azureinstall.shhttps://github.com/ModelInference/dinv/blob/master/azureinstall.sh
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dependencies.shhttps://github.com/ModelInference/dinv/blob/master/dependencies.sh
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env.shhttps://github.com/ModelInference/dinv/blob/master/env.sh
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READMEhttps://github.com/ModelInference/dinv
https://github.com/ModelInference/dinv#dinv-is-a-distributed-system-data-invariant-detector
A demo video explaining DInvhttps://www.youtube.com/watch?v=n9fH9ABJ6S4
Inferring and Asserting Distributed System Invariantshttps://www.cs.ubc.ca/~bestchai/papers/dinv-icse18.pdf
https://github.com/ModelInference/dinv#table-of-contents
Installationhttps://github.com/ModelInference/dinv#markdown-header-installation
Usagehttps://github.com/ModelInference/dinv#markdown-header-usage
Instrument system source code https://github.com/ModelInference/dinv#markdown-header-instrument-system-source-code-part-1
Add state recording annotationhttps://github.com/ModelInference/dinv#markdown-header-add-state-recording-annotations-step-1
Wrap messages with vector timestampshttps://github.com/ModelInference/dinv#markdown-header-wrap-messages-with-vector-timestamps-step-2
Run the instrumenterhttps://github.com/ModelInference/dinv#markdown-header-run-the-instrumenter-step-3
Run system and analyze its logshttps://github.com/ModelInference/dinv#markdown-header-run-system-and-analyze-its-logs-part-2
Run instrumented codehttps://github.com/ModelInference/dinv#markdown-header-run-instrumented-code-step-4
Merge logshttps://github.com/ModelInference/dinv#markdown-header-merge-logs-step-5
Detect invariantshttps://github.com/ModelInference/dinv#markdown-header-detect-invariants-step-6
Exampleshttps://github.com/ModelInference/dinv#markdown-header-examples
Command line usagehttps://github.com/ModelInference/dinv#markdown-header-command-line-usage
https://github.com/ModelInference/dinv#installation
go langhttp://golang.org/
Daikonhttp://plse.cs.washington.edu/daikon/
download go from the offical websitehttps://golang.org/dl/
installation instructionshttps://golang.org/doc/install#install
how to write go codehttp://golang.org/doc/code.html#Organization
official websitehttps://www.mercurial-scm.org/
tutorialhttps://github.com/ModelInference/dinv/blob/master/TUTORIAL.md
https://github.com/ModelInference/dinv#dependencies
installhttp://plse.cs.washington.edu/daikon/download/doc/daikon/Installing-Daikon.html#Complete-installation
Daikonhttp://plse.cs.washington.edu/daikon/
https://github.com/ModelInference/dinv#installing-dinv
https://github.com/ModelInference/dinv#usage
usagehttps://github.com/ModelInference/dinv#markdown-header-command-line-usage
https://github.com/ModelInference/dinv#instrument-system-source-code-part-1
https://github.com/ModelInference/dinv#add-state-recording-annotations-step-1
https://github.com/ModelInference/dinv#collected-variables
https://github.com/ModelInference/dinv#example
dump wiki entryhttps://bitbucket.org/bestchai/dinv/wiki/Dump%20Annotations
https://github.com/ModelInference/dinv#wrap-messages-with-vector-timestamps-step-2
https://github.com/ModelInference/dinv#usage-1
https://github.com/ModelInference/dinv#function-documentation
https://github.com/ModelInference/dinv#example-1
https://github.com/ModelInference/dinv#run-the-instrumenter-step-3
https://github.com/ModelInference/dinv#run-system-and-analyze-its-logs--part-2-
https://github.com/ModelInference/dinv#run-instrumented-code--step-4-
ShiVizhttp://bestchai.bitbucket.org/shiviz/
https://github.com/ModelInference/dinv#merge-logs--step-5-
https://github.com/ModelInference/dinv#detect-invariants--step-6-
https://github.com/ModelInference/dinv#examples
https://github.com/ModelInference/dinv#hello-dinv
https://github.com/ModelInference/dinv#sum
https://github.com/ModelInference/dinv#linear
https://github.com/ModelInference/dinv#instrumenter-dinv---i
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