[1]
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Pricing and advertising decisions in a direct-sales closed-loop supply chain
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Computers & Industrial …,
2022 |
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[2]
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Optimizing deep learning model for software cost estimation using hybrid meta-heuristic algorithmic approach
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Computational …,
2022 |
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[3]
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Enhancing firefly algorithm with adaptive multi-group mechanism
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Applied Intelligence,
2022 |
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[4]
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A novel hybrid firefly–whale optimization algorithm and its application to optimization of MPC parameters
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Soft Computing,
2022 |
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[5]
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Analysis of Risk Factors in Global Software Development: A Cross-Continental Study Using Modified Firefly Algorithm
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Computational …,
2022 |
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[6]
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A benchmarking program to support software process improvement adaptation in a developing country, a Pakistan case
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PeerJ Computer …,
2022 |
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[7]
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Big and little histories: Sizing up ethics in historiography
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Warrington,
2022 |
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[8]
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Optimizing complexity weight parameter of use case points estimation using particle swarm optimization
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International Journal of …,
2022 |
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[9]
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Test data generation using flocking of fireflies in software testing
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Life Cycle Reliability and Safety …,
2022 |
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[10]
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Complexity Weights Parameter Optimization of Use Case Points Estimation using Chaotic PSO
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2022 5th International …,
2022 |
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[11]
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An improved firefly algorithm with distance-guided selection strategy and its application
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Journal of Intelligent & Fuzzy Systems,
2022 |
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[12]
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Comparative Analysis of Machine Learning Techniques in Effort Estimation
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2022 International Conference on Machine Learning …,
2022 |
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[13]
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Effort Estimation using Neural Network and Metaheuristic Optimizer
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2022 10th International Conference on …,
2022 |
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[14]
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A hybrid feature selection method using multi-objective Jaya algorithm
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… Conference on Computing …,
2022 |
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[15]
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Flower Pollination Algorithm for Software Effort Coefficients Optimization to Improve Effort Estimation Accuracy
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JUITA: Jurnal Informatika,
2021 |
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[16]
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Optimized COCOMO parameters using hybrid particle swarm optimization
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International Journal of …,
2021 |
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[17]
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An Enhanced Metaheuristic Based Cuckoo Search Algorithm for Software Size Estimation
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2021 4th International Conference on Recent …,
2021 |
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[18]
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Software Project Estimation with Machine Learning
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… Journal of Advanced …,
2021 |
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[19]
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Optimasi Koefisien COCOMO II Menggunakan Algoritma Kelelawar untuk Meningkatkan Akurasi Estimasi Biaya dan Waktu Pengembangan Perangkat Lunak
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ikraith …,
2021 |
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[20]
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Optimization of COCOMO Model using Particle Swarm Optimization
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… Journal of Advances …,
2021 |
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[21]
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Extended COCOMO: robust and interpretable neuro-fuzzy modelling
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2021 |
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[22]
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Metaheuristic Algorithms in Optimizing Deep Neural Network Model for Software Effort Estimation
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2021 |
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[23]
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An Effective Nature Inspired Approach for the Estimation of Software Development Cost
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2021 16th International Conference …,
2021 |
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[24]
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Inspirations from Nature for Meta-heuristic Algorithms: A Survey
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Recent Advances in Computer …,
2021 |
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[25]
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Critical knowledge management issues in spacecraft software development
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2021 |
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[26]
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Enhancing firefly algorithm with multiple swarm strategy
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Journal of Intelligent & Fuzzy Systems,
2021 |
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[27]
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Parameter tuning of software effort estimation models using antlion optimization
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2021 |
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[28]
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Nature-Inspired Optimization Algorithms: Research Direction and Survey
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2021 |
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[29]
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Software Cost and Effort Estimation using Ensemble Duck Traveler Optimization Algorithm (eDTO) in Earlier Stage
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2021 |
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[30]
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A new approach to software effort estimation using different Artificial Neural Network architectures and Taguchi Orthogonal Arrays
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2021 |
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[31]
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Optimized Cost Estimation Model in early stage software-A review
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Elementary Education Online,
2021 |
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[32]
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Enhanced framework for ensemble effort estimation by using recursive‐based classification
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2021 |
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[33]
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An Improved Firefly Algorithm for Software Defect Prediction
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2020 |
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[34]
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Nature-Inspired Metaheuristics Search Algorithms for Solving the Economic Load Dispatch Problem of Power System: A Comparison Study
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2020 |
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[35]
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СРАВНИТЕЛЬНЫЙ АНАЛИЗ ДАТАСЕТОВ ДЛЯ ОЦЕНКИ ПАРАМЕТРОВ ПРОЕКТОВ ПО РАЗРАБОТКЕ ПРОГРАММНОГО ОБЕСПЕЧЕНИЯ
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2020 |
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[36]
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A Multiperiod Multiobjective Portfolio Selection Model With Fuzzy Random Returns for Large Scale Securities Data
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2020 |
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[37]
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Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines
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2020 |
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[38]
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Multi-verse Optimizer: Theory, Literature Review, and Application in Data Clustering
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2020 |
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[39]
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Demand Side Management through Load Shifting in IoT based HEMS: Overview, Challenges and Opportunities
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2020 |
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[40]
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Anti-Predatory NIA Based Approach for Optimizing Basic COCOMO Model
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2020 |
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[41]
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Identification of most critical paths using sparse matrix in software testing
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2020 |
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[42]
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Exploring The Whale Optimization Algorithm To Enhance Software Project Effort Estimation
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2020 |
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[43]
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Optimization of drop ejection frequency in EHD inkjet printing system using an improved Firefly Algorithm
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2020 |
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[44]
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A Hybrid Approach for Software Development Effort Estimation using Neural networks, Genetic Algorithm, Multiple Linear Regression and Imperialist Competitive …
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2020 |
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[45]
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Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection
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2020 |
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[46]
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Optimization of Production Profits Using The Firefly Algorithm
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2020 |
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[47]
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Using Combinations of Bio-inspired Feature Selection Algorithms in Software Efforts Estimation: An Empirical Study
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2019 |
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[48]
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Efficient hybrid nature-inspired binary optimizers for feature selection
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2019 |
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[49]
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Nature-Inspired Metaheuristics Search Algorithms for Solving the Economic Load Dispatch Problem of Power
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2019 |
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[50]
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Optimizing Software Effort Estimation Models Using Back-Propagation Versus Radial Base Function Networks
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2019 |
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[51]
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Effort Estimation For Software Development On Mobile Application Of'Tangkap Reptil'
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2019 |
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[52]
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Application of Soft Computing Techniques in Global Software Development: state-of-the-art Review
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2018 |
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[53]
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Implementation of Bat Algorithm for COCOMO II Optimization
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2018 |
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[54]
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Optimizing Time and Effort Parameters of COCOMO II using Fuzzy Multi-Objective Particle Swarm Optimization
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2018 |
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[55]
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The state‐of‐the‐art in software development effort estimation
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Journal of Software: Evolution and Process,
2018 |
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[56]
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Optimizing Effort Parameter of COCOMO II Using Particle Swarm Optimization Method.
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Telkomnika,
2018 |
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[57]
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Optimizing Time and Effort Parameters of COCOMO II Using Fuzzy Multi-objective Particle Swarm Optimization.
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Telkomnika,
2018 |
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[58]
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Estimating ARMA Model Parameters of an Industrial Process Using Meta-Heuristic Search Algorithms
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2018 |
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[59]
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An Improved Algorithmic Method for Software Development Effort Estimation
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2018 |
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[60]
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A New Hybrid model of Multi-layer Perceptron Artificial Neural Network and Genetic Algorithms in Web Design Management Based on CMS
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2018 |
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[61]
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Optimizing Effort Parameter of COCOMO II using Particle Swarm Optimization Method
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2018 |
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[62]
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Software effort estimation using machine learning techniques
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2017 |
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[63]
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Optimizing COCOMO II parameters using artificial bee colony method
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2017 |
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[64]
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Feature selection using firefly algorithm in software defect prediction
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Cluster Computing,
2017 |
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[65]
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A genetic algorithm based framework for software effort prediction
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2017 |
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[66]
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Optimizing effort and time parameters of COCOMO II estimation using fuzzy multi-objective PSO
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2017 |
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[67]
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Optimizing COCOMO II parameters using particle swarm method
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2017 |
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[68]
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A hybrid cuckoo optimization and harmony search algorithm for software cost estimation
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Procedia Computer Science,
2017 |
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[69]
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A Systematic Review on Software Cost Estimation in Agile Software Development.
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2017 |
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[70]
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Estimation of effort using nature inspired optimization techniques
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2017 |
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[71]
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A Survey Report on Various Software Estimation Techniques and Practices
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2016 |
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[72]
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MODEL AND DATASET TREND IN SOFTWARE PROJECT EFFORT ESTIMATION–A SYSTEMATIC LITERATURE REVIEW
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[73]
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A Hybrid Model of Ant-Lion Optimization with Cuttlefish Algorithm for Software Effort Estimation
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