Documentation Verification Based on Natural Language Processing for Safety-Critical Digital I&C System in NPP
| Autor: | Hua-Qing Peng, Ji Shi, Tao Bai, Xin-Sheng Yang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science media_common.quotation_subject Sample (statistics) Nuclear power computer.software_genre Software Documentation Key (cryptography) Effective method Quality (business) Artificial intelligence business computer Reliability (statistics) Natural language processing media_common |
| Zdroj: | Lecture Notes in Electrical Engineering ISBN: 9789811634550 |
| DOI: | 10.1007/978-981-16-3456-7_39 |
| Popis: | The reliability of I&C system and software is critical to the nuclear power plants. As the most effective method to ensure the reliability of I&C systems, the quality, effectiveness and efficiency of V&V activities is a key issue. In order to reduce the human factors and improve the efficiency and quality of verification, an automated documentation structural integrity method is proposed based on natural language processing. Sample tests are performed to prove the effectiveness of the proposed method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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