Detection Method of Duplicate Data in Software Testing Based on BP Neural Network

Chang’an Pan, Xiaozhou Chen

2023

Abstract

Most of the conventional duplicate data detection methods are designed based on the principle of proximity sorting algorithm, which has strong limitations in use. In software testing, in the face of massive data, the detection recall rate of this method is low, and it cannot comprehensively detect duplicate data. Based on this, BP neural network is introduced to carry out the research on the detection method of duplicate data in software testing based on BP neural network. First, the similarity of software test repeated data is matched to determine whether two records are similar to each other. Secondly, a BP neural network model is constructed to preprocess duplicate data through iterative training of the model to reduce the impact of data redundancy interference. On this basis, the software testing process, similar or duplicate data records for all-round detection. The experimental test results show that after the application of the new method, the recall rate of duplicate data detection in software testing has reached more than 98% when the amount of data to be detected has gradually increased.

Paper Citation

in Harvard Style

Pan C. and Chen X. (2023). Detection Method of Duplicate Data in Software Testing Based on BP Neural Network. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 458-463. DOI: 10.5220/0012285900003807

in Bibtex Style

@conference{anit23,
author={Chang’an Pan and Xiaozhou Chen},
title={Detection Method of Duplicate Data in Software Testing Based on BP Neural Network},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={458-463},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012285900003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Detection Method of Duplicate Data in Software Testing Based on BP Neural Network
SN - 978-989-758-677-4
AU - Pan C.
AU - Chen X.
PY - 2023
SP - 458
EP - 463
DO - 10.5220/0012285900003807
PB - SciTePress