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wongICSME2019-syntax.pdf
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🔗 Source: softwareprocess.ca
📊 Size: 198 KB
📄 Pages: 5 pages
⬇️ Downloads: 56

Summary

Researchers developed a methodology to extract natural syntax errors and fixes from Stack Overflow, a platform where programmers share code and answers. They used a Python abstract syntax tree parser to identify errors and corrections in code snippets, and validated the corrections by executing them in a Python interpreter. The resulting dataset of 62,965 Python code snippets with corresponding tags, errors, and stack traces is publicly available. The study found that errors made by Stack Overflow users differ from those made by student developers or generated through random mutations, highlighting the importance of using natural, representative data in syntax error research.

Description

Researchers developed a methodology to extract natural syntax errors and fixes from Stack Overflow, a platform where programmers share code and answers.

Technical Information

  • File Format: PDF
  • File Size: 198 KB
  • Pages: 5
  • Language: EN
  • Total Downloads: 56
  • Last Updated: 2 hours ago

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