~/talk

FTFY: Research advances in automatic bug repair

on YouTube 04m
Talkat O'Reilly Velocity Conference 2017 - New York, New York · 2017-10-02..10-04· [testing]

speaker

name:Claire Le Goues
bluesky:clegoues.bsky.social

resources

video:https://youtu.be/TDw8ogr2-T0
slides:none on file

summary

Research presents concrete methods and results for automatic source‑level bug repair using AST‑level genetic programming and combinations of program synthesis, machine learning, and search over large code corpora. It treats failing tests as specifications, claims most real patches are 3–5 lines and code is repetitive so reuse is common — roughly five to seven lines before new textual uniqueness — and reports tools like GenProg that actually find working patches for multiple real programs, not just toy examples.

AI-written summary · about

chapters (6)

  1. 0:00Start
  2. 0:13O'REILLY Velocity
  3. 1:43Problem: source-level defect repair
  4. 2:31Insight 1: Code is repetitive + predictable
  5. 3:00Secret Sauces
  6. 3:52GenProg: automatic program repair using genetic programming

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