LEAP: Efficient and Automated Test Method for NLP Software

The widespread adoption of DNNs in NLP software has highlighted the need for robustness. Researchers proposed various automatic testing techniques for adversarial test cases. However, existing methods suffer from two limitations: weak error-discovering capabilities, with success rates ranging from 0...

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Bibliographic Details

Published in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] pp. 1136 - 1148
Main Authors:	Xiao, Mingxuan, Xiao, Yan, Dong, Hai, Ji, Shunhui, Zhang, Pengcheng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11.09.2023
Subjects:	Adaptation models NLP Software Testing Particle Swarm Optimization Perturbation methods Robustness Scalability Sociology Software algorithms Statistics
ISSN:	2643-1572
Online Access:	Get full text
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