@inproceedings{c01d9077497b4e3699ec7aee899f3529,
title = "Modeling Method for Testability Diagnostic Concept based on SysML",
abstract = "The existing methods for refining and decomposing testability design requirements suffer from limitations in effective tracking, confirmation, and implementation, along with issues pertaining to inaccurate interaction of testability design information. To address these shortcomings, this study devised a modeling method for testability diagnostic concepts utilizing systems modeling language (SysML). A standardized approach for designing elements of testability diagnostic concepts-including diagnostic scenarios, functions, and structures-is examined to facilitate the preliminary design of multi-level testability diagnostic concepts for various products. The effectiveness of the proposed method is validated through a systematic case study.",
keywords = "Diagnostic Concept, SysML, Testability design",
author = "Junyou Shi and Zhenyang Lv and Ding, \{Yu Fei\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023 ; Conference date: 26-08-2023 Through 29-08-2023",
year = "2023",
doi = "10.1109/ICRMS59672.2023.00244",
language = "英语",
series = "Proceedings - 2023 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1433--1437",
editor = "Liming Ren and Wong, \{W. Eric\} and Hailong Cheng and Xiaopeng Li and Shu Wang and Kanglun Liu and Ruifeng Li",
booktitle = "Proceedings - 2023 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023",
address = "美国",
}