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About DeepBugs TR Nov2017 PDF
The document describes a new approach called DeepBugs for automatically creating bug detectors using machine learning. DeepBugs trains a model to distinguish between buggy and non-buggy code by extracting examples from existing code and synthesizing additional examples by seeding bugs. As a proof of concept, the authors implement DeepBugs to create four JavaScript bug detectors that learn to identify issues like swapped function arguments and incorrect assignments by analyzing semantic similarities between identifier names. Evaluating on a corpus of 150,000 JavaScript files shows the learned detectors have high accuracy and find real bugs.
Detailed Information
| Author: | ['zohar oshrat'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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