Scaling Code Pattern Inference with Interactive What-If Analysis

Abstract

Programmers often have to search for similar code when detecting and fixing similar bugs. Prior active learning approaches take only instance-level feedback, i.e., positive and negative method instances. This limitation leads to increased labeling burden, when users try to control generality and specificity for a desired code pattern.