Software Defects Prediction Based on Hybrid Particle Swarm Optimization and Sparrow Search Algorithm

Software Defects Prediction Based on Hybrid Particle Swarm Optimization and Sparrow Search Algorithm

Software defects reflect software quality, and software failures can be predicted through software reliability models. Aiming at the problem that the parameters of software reliability model are difficult to estimate, this paper used the hybrid algorithm for model parameter estimation to software de...

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Bibliographic Details
Main Authors: Liu Yang, Zhen Li, Dongsheng Wang, Hong Miao, Zhaobin Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Defects prediction
software reliability
parameter estimation
swarm intelligence
sparrow search algorithm
particle swarm optimization
Online Access:https://ieeexplore.ieee.org/document/9402796/

Internet

https://ieeexplore.ieee.org/document/9402796/

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