Bug Severity Prediction in Software Projects Using Supervised Machine Learning Models
arXiv 2603.00004•f5f630f96a8f4c8634b858e5a6e4cc2a97310942ed8777e3d7dd556bd39efb17
LLMsSDNSREbenchmarkingcloud-securitycode-reviewdocumentationfuzzingmachine-learningmemory-safetymetamorphic-testingregexroot-cause-analysissoftware-engineeringvulnerability-analysis
Paper metadata
- arXiv ID
- 2603.00004
- Version
- Not specified by this published record
- Category
- Computer Science — Software Engineering (cs.SE)
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Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- f5f630f96a8f4c8634b858e5a6e4cc2a97310942ed8777e3d7dd556bd39efb17
- Enrichment time
- 2026-03-04T19:55:59Z
- AI-assisted enrichment
- Yes
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