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Python Programming Learning Circle
Python Programming Learning Circle
Aug 30, 2021 · Artificial Intelligence

DeepDebug: Transformer‑Based Automatic Debugging Using Large Pretrained Models

The paper presents DeepDebug, a transformer‑based system that leverages large pretrained models and extensive synthetic and real‑world data to automatically localize and fix bugs in Python code, achieving significant improvements in patch generation success rates and reduction of false positives on benchmarks such as QuixBugs.

Transformerautomatic debuggingmachine learning
0 likes · 12 min read
DeepDebug: Transformer‑Based Automatic Debugging Using Large Pretrained Models
Taobao Frontend Technology
Taobao Frontend Technology
Jul 21, 2021 · Artificial Intelligence

How AI Transforms Bug Prediction, Understanding, and Automatic Repair

This article outlines a three‑track roadmap for tackling software defects—starting with bug prediction using machine‑learning models, progressing through defect understanding and localization via static and dynamic analysis, and culminating in automated repair and program synthesis techniques, while highlighting key research directions and representative literature.

bug predictiondefect localizationprogram repair
0 likes · 9 min read
How AI Transforms Bug Prediction, Understanding, and Automatic Repair