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표준
판매
ISO/IEC TR 29119-11:2020
Software and systems engineering — Software testing — Part 11: Guidelines on the testing of AI-based systems- 발행일 : 2020-11-27
- 발행기관 : ISO/IEC
상세정보
분야 | ISO/IEC JTC 1/SC 7 : Software and systems engineering |
---|---|
적용범위 | This document provides an introduction to AI-based systems. These systems are typically complex (e.g. deep neural nets), are sometimes based on big data, can be poorly specified and can be non-deterministic, which creates new challenges and opportunities for testing them. This document explains those characteristics which are specific to AI-based systems and explains the corresponding difficulties of specifying the acceptance criteria for such systems. This document presents the challenges of testing AI-based systems, the main challenge being the test oracle problem, whereby testers find it difficult to determine expected results for testing and therefore whether tests have passed or failed. It covers testing of these systems across the life cycle and gives guidelines on how AI-based systems in general can be tested using black-box approaches and introduces white-box testing specifically for neural networks. It describes options for the test environments and test scenarios used for testing AI-based systems. In this document an AI-based system is a system that includes at least one AI component. |
국제분류(ICS)코드 | 35.080 : 소프트웨어 개발 및 시스템 문서화 |
페이지수 | 52 |
Edition | 1 |
이력정보
No. | 표준번호 | 표준명 | 발행일 | 상태 |
---|---|---|---|---|
1 | ISO/IEC TR 29119-11:2020상세보기 | Software and systems engineering - Software testing - Part 11: Guidelines on the testing of AI-based systems | 2020-11-27 | 표준 |
2 | ISO/IEC TR 29119-11:2020상세보기 | Software and systems engineering — Software testing — Part 11: Guidelines on the testing of AI-based systems | 2020-11-27 | 표준 |
관련상품
- ISO/IEC TR 29119-11:2020 - Software and systems engineering - Software testing - Part 11: Guidelines on the testing of AI-based systems
- ISO/IEC TR 29119-6:2021 - Software and systems engineering — Software testing — Part 6: Guidelines for the use of ISO/IEC/IEEE 29119 (all parts) in agile projects
- ISO/IEC TR 29119-6:2021 - Software and systems engineering - Software testing - Part 6: Guidelines for the use of ISO/IEC/IEEE 29119 (all parts) in agile projects
- ISO/IEC TR 29119-13:2022 - Software and systems engineering - Software testing - Part 13: Using the ISO/IEC/IEEE 29119 series in the testing of biometric systems
- ISO/IEC TR 29119-13:2022 - Software and systems engineering — Software testing — Part 13: Using the ISO/IEC/IEEE 29119 series in the testing of biometric systems
다른 사람이 함께 구입한 상품
- ISO 3691-4:2020 - Industrial trucks — Safety requirements and verification — Part 4: Driverless industrial trucks and their systems
- ISO/TR 22100-5:2021 - Safety of machinery — Relationship with ISO 12100 — Part 5: Implications of artificial intelligence machine learning
- ISO/IEC TR 24028:2020 - Information technology — Artificial intelligence — Overview of trustworthiness in artificial intelligence
- ISO/IEC/IEEE 29119-5:2016 - Software and systems engineering — Software testing — Part 5: Keyword-Driven Testing
- ISO/IEC/IEEE 29119-4:2021 - Software and systems engineering — Software testing — Part 4: Test techniques
추천 상품
- IEC TS 63134:2020 - Active assisted living (AAL) use cases
- IEC 60034-5:2020 RLV - Rotating electrical machines - Part 5: Degrees of protection provided by the integral design of rotating electrical machines (IP code) - Classification
- KS B ISO TS 25740-1 - 에스컬레이터 및 무빙워크에 대한 안전요건 — 제1부: 세계공통 필수 안전요건(GESRs)
- KS B ISO TS 8100-21 - 승객 및 화물 운송용 엘리베이터 —제21부: 세계공통 필수안전요건(GESRs)을 충족하는 세계공통 안전 파라미터(GSPs)
- KS C IEC TS 62872 - 산업 시설과 스마트 그리드 사이의 산업 공정 측정, 제어 및 자동화 시스템 인터페이스
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