RepairFormer: Automated Repair of Structured Inputs Using Transformers
Structured input files such as JSON, DOT, OBJ, INI, S-expression, and TinyC are widely used in software systems, but small corruptions can cause parsers to reject otherwise useful data. Repairing such inputs is important because malformed configuration, program, and data files can interrupt testing, analysis, deployment, and downstream automation even when most of the original content remains intact. Existing repair techniques can produce structurally valid inputs, but they often rely on deletion or repeated search, which may lose original content and result in semantic incorrectness. This paper presents RepairFormer, a transformer-based framework for structured input repair. The approach...
| Authors | Ovi Paul, Tom J King, Ali Shokri |
|---|---|
| Primary category | cs.SE |
| Published | 5 August 2026 |
| Last updated at source | 5 August 2026 |
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