A Formal Approach and Testing Process for Failure Modes in Intelligent Algorithms

This paper proposes a formal approach and testing process for the failure modes of intelligent algorithms. The process first requires the establishment of a failure mode library specific to the algorithm domain. Subsequently, we introduce a formalized method for providing a standardized and comprehensive description of the failure modes. We developed a supporting system to parse the formal description statements, enabling the automatic generation of failure test cases based on the failure modes. Finally, we validated the effectiveness and practicality of our proposed testing process based on failure modes in the field of object detection algorithms, demonstrating the testing process’s outstanding effectiveness.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/ats64447.2024.10915416
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A Formal Approach and Testing Process for Failure Modes in Intelligent Algorithms

Hongping Ren, Qian Dong, Lingzhong Meng, Rui Li et al.
Fault Detection and Control Systems
article

A Formal Approach and Testing Process for Failure Modes in Intelligent Algorithms

Hongping Ren, Qian Dong, Lingzhong Meng, Rui Li, Nishan Xie
article en

Abstract

This paper proposes a formal approach and testing process for the failure modes of intelligent algorithms. The process first requires the establishment of a failure mode library specific to the algorithm domain. Subsequently, we introduce a formalized method for providing a standardized and comprehensive description of the failure modes. We developed a supporting system to parse the formal description statements, enabling the automatic generation of failure test cases based on the failure modes. Finally, we validated the effectiveness and practicality of our proposed testing process based on failure modes in the field of object detection algorithms, demonstrating the testing process’s outstanding effectiveness.

Chinese Academy of Sciences (CN), Institute of Software (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 65%
Fault Detection and Control Systems
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A Formal Approach and Testing Process for Failure Modes in Intelligent Algorithms — Hongping Ren, Qian Dong, et al. · (2024) | TGRS Research Map | TGRS