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MaxSMT-Based Type Inference for Python 3 - Artifact

Hassan, Mostafa; Urban, Caterina; Eilers, Marco; Müller, Peter


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>We present Typpete, a sound type inferencer that automatically infers Python 3 type annotations. Typpete encodes type constraints as a MaxSMT problem and uses optional constraints and specific quantifier instantiation patterns to make the constraint solving process efficient. Our experimental evaluation shows that Typpete scales to real world Python programs and outperforms state-of-the-art tools.</p>\n\n<p>This is the artifact accompanying the published paper.&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "ETH Zurich", 
      "@type": "Person", 
      "name": "Hassan, Mostafa"
    }, 
    {
      "affiliation": "ETH Zurich", 
      "@type": "Person", 
      "name": "Urban, Caterina"
    }, 
    {
      "affiliation": "ETH Zurich", 
      "@type": "Person", 
      "name": "Eilers, Marco"
    }, 
    {
      "affiliation": "ETH Zurich", 
      "@type": "Person", 
      "name": "M\u00fcller, Peter"
    }
  ], 
  "url": "https://zenodo.org/record/3996670", 
  "datePublished": "2018-07-18", 
  "keywords": [
    "Type Inference", 
    "SMT Solving", 
    "Dynamic Languages"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3996670", 
  "@id": "https://doi.org/10.5281/zenodo.3996670", 
  "@type": "SoftwareSourceCode", 
  "name": "MaxSMT-Based Type Inference for Python 3 - Artifact"
}
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