Journal Article10.1007/s10586-023-03979-y
Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques
Sofian Kassaymeh,Mohammed Alweshah,Mohammed Azmi Al-Betar,Abdelaziz I. Hammouri,Mohammad Atwah Al-Ma’aitah +4 more
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TL;DR: A fully connected neural network model and a metaheuristic, gray wolf optimizer (GWO) is proposed to tackle the software development effort estimation (SEE) problem and comparative outcomes reveal that the GWO-FC performs better than other methods in most datasets and evaluation criteria.
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About: This article is published in Cluster Computing. The article was published on 12 Feb 2023. The article focuses on the topics: Computer science & Artificial neural network.
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Citations
Recent advances in Grey Wolf Optimizer, its versions and applications: Review
Sharif Naser Makhadmeh,Mohammed Azmi Al-Betar,Iyad Abu Doush,Mohammed A. Awadallah,Sofian Kassaymeh,Seyedali Mirjalili,Raed Abu Zitar +6 more
TL;DR: This review delves into the GWO-related research conducted between 2019 and 2022, encompassing over 200 research articles and explores the growth of GWO in terms of publications, citations, and the domains that leverage its potential.
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Hybrid black widow optimization with iterated greedy algorithm for gene selection problems
Mohammed Alweshah,Yasmeen Aldabbas,Bilal Abu-Salih,Saleh Oqeil,Hazem S. Hasan,Saleh Alkhalaileh,Sofian Kassaymeh +6 more
TL;DR: The hybridized BWO-IG technique excels in the efficiency of local searches, making it easier to identify relevant genes and producing findings with higher levels of reliability in terms of accuracy and the degree of gene pruning.
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Software cost estimation predication using a convolutional neural network and particle swarm optimization algorithm
Moatasem M. Draz,Osama Emam,Safaa M. Azzam +2 more
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Review and Empirical Analysis of Software Effort Estimation
Mizanur Rahman,Hasan Sarwar,Md Abdul Kader,Teresa Gonãğalves,Ting Tin Tin +4 more
TL;DR: Review and empirical analysis of software effort estimation using machine learning techniques to improve accuracy and guide future research directions.
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Review of Existing Datasets Used for Software Effort Estimation
Mizanur Rahman,Teresa Gonçalves,Hasan Sarwar +2 more
TL;DR: The existing datasets used for software effort estimation are of low quality and limited in availability.
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TL;DR: In this paper, the equivalence between Albrecht's external input/output data flow representative of a program (the function points" metric) and Halstead's [2] "software science" or "software linguistics" model of a programming program as well as the "soft content" variation of Halsteads model suggested by Gaffney [7] was demonstrated.
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