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Ensembles and locality: Insight on improving software effort estimation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Software Project Effort Estimation Based on Multiple Parametric Models Generated Through Data Clustering
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Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
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Evaluating prediction systems in software project estimation
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Comparison of artificial neural network and regression models for estimating software development effort
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Estimating software development effort with connectionist models
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An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
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Machine learning approaches to estimating software development effort
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Comparison of Artificial Neural Network and Regression Models in Software Effort Estimation
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On the Value of Ensemble Effort Estimation
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Exploiting the Essential Assumptions of Analogy-Based Effort Estimation
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Book Review: Pattern Recognition and Machine Learning
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The WEKA data mining software
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Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling.
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Pattern recognition and machine learning
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Software Measurements Using Machine Learning Techniques - A Review
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SOFTWARE EFFORT ESTIMATION FRAMEWORK TO IMPROVE ORGANIZATION PRODUCTIVITY USING EMOTION RECOGNITION OF SOFTWARE ENGINEERS IN SPONTANEOUS SPEECH
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Empirical Analysis of Software Effort Preprocessing Techniques Based on Machine Learning
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An Improving Long Short Term Memory-Grid Search Based Deep Learning Neural Network for Software Effort Estimation
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Software effort estimation using stacked ensembled techniques and proposed stacking ensemble using principal component regression as super learner
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The Impact of Ensemble Techniques on Software Maintenance Change Prediction: An Empirical Study
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Enhancing Agile Story Point Estimation: Integrating Deep Learning, Machine Learning, and Natural Language Processing with SBERT and Gradient Boosted Trees
inferred← citeshttps://doi.org/10.3390/electronics10101195openalex-snapshot
Estimating Software Development Efforts Using a Random Forest-Based Stacked Ensemble Approach
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Explanatory and Causality Analysis in Software Engineering
inferred← citeshttps://doi.org/10.35940/ijrte.b1025.0982s1119openalex-snapshot
Evaluating Imputation Methods to Improve Data Availability in a Software Estimation Dataset
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Empirical Evaluation of Bug Proneness Index Algorithm
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A Hybrid Associative Classification Model for Software Development Effort Estimation
inferred← citeshttps://doi.org/10.48550/arxiv.1609.05563openalex-snapshot
Negative Results for Software Effort Estimation
inferred← citeshttps://doi.org/10.48550/arxiv.1612.03240openalex-snapshot
Impacts of Bad ESP (Early Size Predictions) on Software Effort Estimation
inferred← citeshttps://doi.org/10.48550/arxiv.1804.00626openalex-snapshot
Why Software Effort Estimation Needs SBSE
inferred← citeshttps://doi.org/10.5121/ijsea.2020.11305openalex-snapshot
Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study
inferred← citeshttps://doi.org/10.52098/acj.20216openalex-snapshot
Fuzzy and Mathematical Effort Estimation Models for Web Applications
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Data science for software engineering
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User Story Estimation using Natural Language Processing and Deep Learning: A Comparative Study
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A Comparison Between Hierarchical and Non-Hierarchical Software Clustering
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A novel particle swarm optimization approach for software effort estimation
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Organizational Strategies and Social Interaction Influence in Software Development Effort Estimation
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