journal article Jan 01, 2023

An optimized case-based software project effort estimation using genetic algorithm

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References
46
[1]
Peixoto "The importance of the use of an estimation process" (2010)
[2]
“Trendowicz and Jeffery - 2014 - Software Project Effort Estimation.pdf”. 10.1007/978-3-319-03629-8
[3]
Ferrucci "Genetic programming for effort estimation: an analysis of the impact of different fitness functions" (2010)
[4]
Fadhil "Software cost estimation based on Dolphin algorithm" IEEE Access (2020) 10.1109/access.2020.2988867
[5]
Fernández-Diego "An update on effort estimation in agile software development: a systematic literature review" IEEE Access (2020) 10.1109/access.2020.3021664
[6]
Azzeh "On the value of project productivity for early effort estimation" Sci. Comput. Program. (2022) 10.1016/j.scico.2022.102819
[7]
Azzeh "A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation" Empir. Softw. Eng. (2012) 10.1007/s10664-011-9176-6
[8]
Trendowicz (2014)
[9]
Alqasrawi "Locally weighted regression with different kernel smoothers for software effort estimation" Sci. Comput. Program. (2022) 10.1016/j.scico.2021.102744
[10]
Li "A study of project selection and feature weighting for analogy-based software cost estimation" J. Syst. Softw. (2009) 10.1016/j.jss.2008.06.001
[11]
Hughes "Expert judgement as an estimating method" Inf. Softw. Technol. (1996) 10.1016/0950-5849(95)01045-9
[12]
Cuadrado-Gallego "Analogies and differences between machine learning and expert based software project effort estimation" (2010)
[13]
L. Wu, “The Comparison of the Software Cost Estimating Methods,” p. 1, [Online]. Available: https://www.computing.dcu.ie/∼renaat/ca421/LWu1.html.
[14]
Subriadi "The comparison analysis of estimation effort among software development using function point method" (2018)
[15]
Zheng "Estimation of software projects effort based on function point" (2009)
[16]
Silhavy "Categorical variable segmentation model for software development effort estimation" IEEE Access (2019) 10.1109/access.2019.2891878
[17]
Jones "Function points as a universal software metric" ACM SIGSOFT Softw. Eng. Notes (2013) 10.1145/2492248.2492268
[18]
G. Karner, “Resource Estimation for Objectory Projects,” p. 9.
[19]
Azzeh "A hybrid model for estimating software project effort from use case points" Appl. Soft Comput. (2016) 10.1016/j.asoc.2016.05.008
[20]
Mohri (2018)
[21]
Shalev-Shwartz (2014)
[22]
A survey on feature selection methods

Girish Chandrashekar, Ferat Sahin

Computers & Electrical Engineering 2014 10.1016/j.compeleceng.2013.11.024
[23]
Ali "Particle swarm optimization-based feature weighting for improving intelligent phishing website detection" IEEE Access (2020) 10.1109/access.2020.3003569
[24]
Pal (2004)
[25]
Phannachitta "Robust comparison of similarity measures in analogy based software effort estimation" (2017)
[26]
Misra "Energy-efficient task scheduling using quantum-inspired genetic algorithm for cloud data center" (2022)
[27]
Xu "Optimization of flight test tasks allocation and sequencing using genetic algorithm" Appl. Soft Comput. (2022) 10.1016/j.asoc.2021.108241
[28]
Zhang "Research on power load forecasting of wavelet neural network based on the improved genetic algorithm" Int. J. Ambient Energy (2022) 10.1080/01430750.2019.1682042
[29]
Almuzaini "An unsupervised annotation of Arabic texts using multi-label topic modeling and genetic algorithm" Expert Syst. Appl. (2022) 10.1016/j.eswa.2022.117384
[30]
Chen "Comparative study on sensitivity enhancement of a graphene based nearly guided-wave surface plasmon resonance biosensor optimized using genetic algorithm in the visible region" Opt. Quant. Electron. (2022) 10.1007/s11082-022-03584-0
[31]
J. Carr, “An Introduction to Genetic Algorithms,” p. 40.
[32]
Sivanandam "Genetic algorithms" (2008)
[33]
M. Azzeh and Y. Elsheikh, “Learning Best K analogies from Data Distribution for Case-Based Software Effort Estimation,” p. 7.
[34]
Abundance (2018)
[35]
Azzeh "An optimized analogy-based project effort estimation" Int. J. Adv. Comput. Sci. Appl. (2014)
[36]
Ardiansyah "Analogy-based model for software project effort estimation" Int J. Adv. Intellig. Inform. (2018)
[37]
Hammad "Features-level software effort estimation using machine learning algorithms" (2018)
[38]
Phannachitta "On an optimal analogy-based software effort estimation" Inf. Softw. Technol. (2020) 10.1016/j.infsof.2020.106330
[39]
Thamarai "An evolutionary computation approach for project selection in analogy based software effort estimation" Indian J. Sci. Technol. (2016) 10.17485/ijst/2016/v9i21/95286
[40]
(2020)
[41]
Singh (2020)
[42]
Chiu "The adjusted analogy-based software effort estimation based on similarity distances" J. Syst. Softw. (2007) 10.1016/j.jss.2006.06.006
[43]
Huang "Optimization of analogy weights by genetic algorithm for software effort estimation" Inf. Softw. Technol. (2006) 10.1016/j.infsof.2005.12.020
[44]
Milios "Global optimization of analogy-based software cost estimation with genetic algorithms" (2011)
[45]
Menzies, T. Caglayan, B. Kocaguneli, E. Krall, J. Peters, F. Turhan, The PROMISE repository of empirical software engineering data, PROMISE.
[46]
Azzeh "Pareto efficient multi-objective optimization for local tuning of analogy-based estimation" Neural Comput. Appl. (2016) 10.1007/s00521-015-2004-y
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Published
Jan 01, 2023
Vol/Issue
153
Pages
107088
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Cite This Article
Shaima Hameed, Yousef Elsheikh, Mohammad Azzeh (2023). An optimized case-based software project effort estimation using genetic algorithm. Information and Software Technology, 153, 107088. https://doi.org/10.1016/j.infsof.2022.107088
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