An Efficient Hybrid Mine Blast Algorithm for Tackling Software Fault Prediction Problem-Reference-Cited by-同舟云学术

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An Efficient Hybrid Mine Blast Algorithm for Tackling Software Fault Prediction Problem

Published:2023-07-25 Issue:8 Volume:55 Page:10925-10950
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Alweshah Mohammed^ORCID,Kassaymeh Sofian,Alkhalaileh Saleh,Almseidin Mohammad,Altarawni Ibrahim

Funder

Al-Balqa’ Applied University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-023-11357-3.pdf

Reference84 articles.

1. Kim Y, Park S-Y, Lee E, Kim M (2017) A deep space orbit determination software: overview and event prediction capability. J Astron Space Sci 34(2):139–151

2. Katsuki M, Kakizawa Y, Nishikawa A, Yamamoto Y, Uchiyama T (2020) Easily created prediction model using deep learning software (prediction one, Sony Network Communications Inc.) for subarachnoid hemorrhage outcomes from small dataset at admission. Surg Neurol Int 11

3. Kassaymeh S, Al-Laham M, Al-Betar MA, Alweshah M, Abdullah S, Makhadmeh SN (2022) Backpropagation neural network optimization and software defect estimation modelling using a hybrid salp swarm optimizer-based simulated annealing algorithm. Knowl-Based Syst 244:108511

4. Kassaymeh S, Alweshah M, Al-Betar MA, Hammouri AI, Al-Ma’aitah MA (2023) Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques. Cluster Comput 1–24

5. Kassaymeh S, Abdullah S, Al-Betar MA, Alweshah M, Al-Laham M, Othman Z (2022) Self-adaptive salp swarm algorithm for optimization problems. Soft Comput 26(18):9349–9368

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1. Optimizing beyond boundaries: empowering the salp swarm algorithm for global optimization and defective software module classification;Neural Computing and Applications;2024-07-31

2. WSO-KELM: War Strategy Optimization-Based Kernel Extreme Learning Machine for Automatic Software Fault Prediction Model;Journal of The Institution of Engineers (India): Series B;2024-06-13

3. Hybrid Aquila optimizer for efficient classification with probabilistic neural networks;Multiagent and Grid Systems;2024-06-11

4. A novel software defect prediction model using two-phase grey wolf optimisation for feature selection;Cluster Computing;2024-06-08

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