Syntactic Code Search with Sequence-to-Tree Matching: Supporting Syntactic Search with Incomplete Code Fragments

Explore a groundbreaking 17-minute conference talk from PLDI 2024 that introduces a novel approach to syntactic code search. Delve into the innovative search architecture developed by researchers from UC Berkeley, Carnegie Mellon University, and Apple, which enables tree-aware wildcards and supports in-progress query specifications. Learn about the stsearch tool, which leverages this new approach to provide more flexible and interactive code search capabilities. Discover how this method compares to existing tools like Semgrep and Comby, and understand its potential impact on improving support for interactive coding environments. Gain insights into the underlying concepts of tree automata and tokenization that power this advancement in lightweight syntactic analysis.

[PLDI24] Syntactic Code Search with Sequence-to-Tree Matching: Supporting Syntactic Search with(…)