Pre-training for automating code review activities
US12314707B2 · kind B2 · utility
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19Claims
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Key dates
| Filing date | Nov 12, 2022 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Oct 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A deep learning model is pre-trained with a large-scale of unsupervised data of code review tasks in order to learn the relationships between code changes and a code review. The pre-trained deep learning model predicts a code review given a code diff hunk in a code diff format. The code diff hunk includes the changed code and its surrounding context. The pre-trained deep learning model may then be fine-tuned with supervised data in order to make predictions for several code review activities, such as, code change quality estimation and code refinement.
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