~/talk

Codebase Research

on YouTube 32m
Talkat JVM Language Summit 2018 · 2018-08-04..08-06· [java, data-engineering]

speakers

name:Louis Wasserman
links:none on file
name:Kevin Bourrillion
github:kevinb9n

resources

video:https://youtu.be/sPW2Pz2dI9E
slides:none on file

summary

Runs Error Prone over Google’s monorepo (≈300 million Java LOC) and returns corpus-wide answers in hours so teams can mapreduce refactor at scale. Examples: 180,000 switch statements analyzed, 2.4% show nontrivial fall‑through, ~2–2.3% simulate case null, ~3% place default first; static analyses also detect patterns for API design and can auto-apply fixes across the repo, producing measurable evidence that informs feature tradeoffs.

AI-written summary · about

chapters (9)

  1. 0:00Introduction
  2. 2:36Why we are here
  3. 3:30What is Google 3
  4. 5:20Design Decisions
  5. 10:25Infinite Insight
  6. 16:10Ericone
  7. 17:25Examples
  8. 20:55Switch Research
  9. 24:32Fall Through

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