10 citations · 11 across the 3 of their papers we have counts for
4 papers
Catching Developers in the Flow: Low-Latency Agentic Program Repair at Google Scale
Celal Ziftci, Spencer Greene, Ray Liu +2
Manual repair of program failures is time-consuming and disruptive for software developers, particularly during the pre-submit phase where test failures occur within continuous int…
LLM-Based Automated Diagnosis Of Integration Test Failures At Google
Celal Ziftci, Ray Liu, Spencer Greene +1
Integration testing is critical for the quality and reliability of complex software systems. However, diagnosing their failures presents significant challenges due to the massive v…
Migrating Code At Scale With LLMs At Google
Celal Ziftci, Stoyan Nikolov, Anna Sjövall +3
Developers often evolve an existing software system by making internal changes, called migration. Moving to a new framework, changing implementation to improve efficiency, and upgr…
How is Google using AI for internal code migrations?
Stoyan Nikolov, Daniele Codecasa, Anna Sjovall +4
In recent years, there has been a tremendous interest in using generative AI, and particularly large language models (LLMs) in software engineering; indeed there are now several co…