A survey on sparrow search algorithms and their applications

J Xue, B Shen - International Journal of Systems Science, 2024 - Taylor & Francis
The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm that
has made some significant advances since its introduction in 2020. A detailed overview of …

Multiobjective sparrow search feature selection with sparrow ranking and preference information and its applications for high-dimensional data

L Sun, S Si, W Ding, X Wang, J Xu - Applied Soft Computing, 2023 - Elsevier
To reduce the dimensionality of high-dimensional data and enhance its classification
accuracy, feature selection can be regarded as a multiobjective optimization problem that …

A novel software defect prediction approach via weighted classification based on association rule mining

W Wu, S Wang, B Liu, Y Shao, W Xie - Engineering Applications of Artificial …, 2024 - Elsevier
Software defect prediction technology is used to assist software practitioners in effectively
allocating test resources and identifying hidden defects in a timely manner. However, the …

Deep learning network based on improved sparrow search algorithm optimization for rolling bearing fault diagnosis

G Ma, X Yue, J Zhu, Z Liu, S Lu - Mathematics, 2023 - mdpi.com
In recent years, deep learning has been increasingly used in fault diagnosis of rotating
machinery. However, the actual acquisition of rolling bearing fault signals often contains …

A software defect prediction method based on learnable three-line hybrid feature fusion

Y Tang, Q Dai, Y Du, L Chen, X Niu - Expert Systems with Applications, 2024 - Elsevier
Software defect prediction (SDP) plays a crucial role in ensuring the security and quality of
software systems. However, it faces challenges posed by high-dimensional features present …

Software defect prediction using an intelligent ensemble-based model

M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

Handling uncertainty issue in software defect prediction utilizing a hybrid of ANFIS and turbulent flow of water optimization algorithm

MA Elsabagh, OE Emam, MG Gafar… - Neural Computing and …, 2024 - Springer
During the development cycle of software projects, numerous defects and challenges have
been identified, leading to prolonged project durations and escalated costs. As a result, both …

Enhanced sparrow search algorithm based on improved game predatory mechanism and its application

J Yang, S Gao, X Zhao, G Li, Z Gao - Digital Signal Processing, 2024 - Elsevier
In response to the problems of strong randomness in initialization, imperfect search
mechanism and tendency to fall into local optimum when dealing with complex optimization …

A Multi-strategy Improved Sparrow Search Algorithm and its Application

Y Yang, J Xu, X Kong, J Su - Neural Processing Letters, 2023 - Springer
In order to address the issues of slow convergence and susceptibility to falling into the local
optimum trap of the original sparrow search algorithm, a novel multi-strategy improved …

Enhancing IOT based software defect prediction in analytical data management using war strategy optimization and Kernel ELM

I Zada, A Alshammari, AA Mazhar, A Aldaeej… - Wireless …, 2023 - Springer
The existence of software problems in IoT applications caused by insufficient source code,
poor design, mistakes, and insufficient testing poses a serious risk to functioning and user …