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Evaluating subset selection methods for use case points estimation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-73003-5_196openalex-snapshot
Gaussian Mixture Models
inferredcites →https://doi.org/10.1007/978-1-4614-7138-7openalex-snapshot
An Introduction to Statistical Learning
inferredcites →https://doi.org/10.1007/978-3-319-18473-9openalex-snapshot
Software Engineering in Intelligent Systems
inferredcites →https://doi.org/10.1007/978-3-319-18473-9_2openalex-snapshot
Applied Least Square Regression in Use Case Estimation Precision Tuning
inferredcites →https://doi.org/10.1007/978-3-319-57141-6_51openalex-snapshot
The Effects of Clustering to Software Size Estimation for the Use Case Points Methods
inferredcites →https://doi.org/10.1007/s00521-015-2004-yopenalex-snapshot
Pareto efficient multi-objective optimization for local tuning of analogy-based estimation
inferredcites →https://doi.org/10.1007/s00521-015-2127-1openalex-snapshot
Neural network models for software development effort estimation: a comparative study
inferredcites →https://doi.org/10.1007/s10115-006-0013-yopenalex-snapshot
Using discriminant analysis for multi-class classification: an experimental investigation
inferredcites →https://doi.org/10.1007/s10664-013-9241-4openalex-snapshot
A flexible method to estimate the software development effort based on the classification of projects and localization of comparisons
inferredcites →https://doi.org/10.1007/s10664-016-9446-4openalex-snapshot
Investigating the use of moving windows to improve software effort prediction: a replicated study
inferredcites →https://doi.org/10.1007/s11222-007-9033-zopenalex-snapshot
A tutorial on spectral clustering
inferredcites →https://doi.org/10.1007/springerreference_70943openalex-snapshot
Gaussian Mixture Models
inferredcites →https://doi.org/10.1016/j.asoc.2016.05.008openalex-snapshot
A hybrid model for estimating software project effort from Use Case Points
inferredcites →https://doi.org/10.1016/j.infsof.2010.10.005openalex-snapshot
Simplifying effort estimation based on Use Case Points
inferredcites →https://doi.org/10.1016/j.infsof.2011.02.004openalex-snapshot
Improving the reliability of transaction identification in use cases
inferredcites →https://doi.org/10.1016/j.infsof.2011.09.002openalex-snapshot
Systematic literature review of machine learning based software development effort estimation models
inferredcites →https://doi.org/10.1016/j.infsof.2014.07.013openalex-snapshot
Analogy-based software development effort estimation: A systematic mapping and review
inferredcites →https://doi.org/10.1016/j.jss.2004.07.010openalex-snapshot
Erratum to “An empirical study of maintenance and development estimation accuracy” [The Journal of Systems and Software 64 (2002) 57–77]
inferredcites →https://doi.org/10.1016/j.jss.2012.07.050openalex-snapshot
Towards an early software estimation using log-linear regression and a multilayer perceptron model
inferredcites →https://doi.org/10.1016/j.jss.2016.11.029openalex-snapshot
Analysis and selection of a regression model for the Use Case Points method using a stepwise approach
inferredcites →https://doi.org/10.1016/j.neucom.2015.12.114openalex-snapshot
Mean Absolute Percentage Error for regression models
inferredcites →https://doi.org/10.1016/j.neucom.2017.06.053openalex-snapshot
A review of clustering techniques and developments
inferredcites →https://doi.org/10.1023/a:1026582314146openalex-snapshot
On Building Prediction Systems for Software Engineers
inferredcites →https://doi.org/10.1023/b:emse.0000039881.57613.cbopenalex-snapshot
Regression Models of Software Development Effort Estimation Accuracy and Bias
inferredcites →https://doi.org/10.1049/iet-sen.2011.0210openalex-snapshot
Increasing the accuracy of software development effort estimation using projects clustering
inferredcites →https://doi.org/10.1049/ip-sen:20010506openalex-snapshot
What accuracy statistics really measure
inferredcites →https://doi.org/10.1109/aero.2016.7500655openalex-snapshot
Improving and expanding NASA software cost estimation methods
inferredcites →https://doi.org/10.1109/esem.2009.5316019openalex-snapshot
Applying moving windows to software effort estimation
inferredcites →https://doi.org/10.1109/icica.2014.79openalex-snapshot
Regression Techniques in Software Effort Estimation Using COCOMO Dataset
inferredcites →https://doi.org/10.1109/iwesep.2016.10openalex-snapshot
Evaluation of Moving Window Policies with CART
inferredcites →https://doi.org/10.1109/iwsm-mensura.2012.13openalex-snapshot
The Effects of Moving Windows to Software Estimation: Comparative Study on Linear Regression and Estimation by Analogy
inferredcites →https://doi.org/10.1109/iwsm-mensura.2016.041openalex-snapshot
On Applicability of Fixed-Size Moving Windows for ANN-Based Effort Estimation
inferredcites →https://doi.org/10.1109/tse.2007.256943openalex-snapshot
A Systematic Review of Software Development Cost Estimation Studies
inferredcites →https://doi.org/10.1109/tse.2007.3openalex-snapshot
A systematic review of software development cost estimation studies
inferredcites →https://doi.org/10.1186/s40064-015-1555-9openalex-snapshot
Prediction accuracy measurements as a fitness function for software effort estimation
inferredcites →https://doi.org/10.1371/journal.pone.0141887openalex-snapshot
Algorithmic Optimisation Method for Improving Use Case Points Estimation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/smr.2110openalex-snapshot
Project productivity evaluation in early software effort estimation
inferred← citeshttps://doi.org/10.1002/smr.2175openalex-snapshot
A model of owner estimate cost for software development project in Indonesia
inferred← citeshttps://doi.org/10.1002/smr.2245openalex-snapshot
A systematic review of studies on use case points and expert‐based estimation of software development effort
inferred← citeshttps://doi.org/10.1002/spe.3009openalex-snapshot
Software effort estimation accuracy prediction of machine learning techniques: A systematic performance evaluation
inferred← citeshttps://doi.org/10.1007/978-3-030-00211-4_29openalex-snapshot
Stepwise Regression Clustering Method in Function Points Estimation
inferred← citeshttps://doi.org/10.1007/978-3-030-19807-7_43openalex-snapshot
Outliners Detection Method for Software Effort Estimation Models
inferred← citeshttps://doi.org/10.1007/978-3-030-30329-7_44openalex-snapshot
A Review of Use Case-Based Development Effort Estimation Methods in the System Development Context
inferred← citeshttps://doi.org/10.1007/978-3-030-31362-3_39openalex-snapshot
A Review of the Regression Models Applicable to Software Project Effort Estimation
inferred← citeshttps://doi.org/10.1007/978-3-030-35510-4_7openalex-snapshot
On Identifying Similarities in Git Commit Trends—A Comparison Between Clustering and SimSAX
inferred← citeshttps://doi.org/10.1007/978-3-030-63322-6_63openalex-snapshot
AdamOptimizer for the Optimisation of Use Case Points Estimation
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_1openalex-snapshot
Introduction to the Continuous Delivery Theme
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_10openalex-snapshot
Chapter 7 MESRAM – A Method for Assessing Robustness of Measurement Programs in Large Software Development Organizations and Its Industrial Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_11openalex-snapshot
Chapter 8 Recognizing Lines of Code Violating Company-Specific Coding Guidelines Using Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_12openalex-snapshot
Chapter 9 SimSAX: A Measure of Project Similarity Based on Symbolic Approximation Method and Software Defect Inflow
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_13openalex-snapshot
Introduction to the Customer Data and Ecosystem-Driven Development Theme
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_14openalex-snapshot
Chapter 10 Requirements Engineering Challenges and Practices in Large-Scale Agile System Development
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_15openalex-snapshot
Chapter 11 Experimentation for Business-to-Business Mission-Critical Systems: A Case Study
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_16openalex-snapshot
Chapter 12 The Evolution of Continuous Experimentation in Software Product Development: From Data to a Data-Driven Organization at Scale
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_17openalex-snapshot
Introduction to the AI Engineering Theme
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_18openalex-snapshot
Chapter 13 Engineering AI Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_2openalex-snapshot
Chapter 1 Climbing the Stairway to Heaven
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_3openalex-snapshot
Chapter 2 Modeling Continuous Integration Practice Differences in Industry Software Development
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_4openalex-snapshot
Chapter 3 Efficient and Effective Exploratory Testing of Large-Scale Software Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_5openalex-snapshot
Introduction to the Continuous Architecture Theme
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_6openalex-snapshot
Chapter 4 Technical Debt Tracking: Current State of Practice: A Survey and Multiple Case Study in 15 Large Organizations
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_7openalex-snapshot
Chapter 5 Expectations and Challenges from Scaling Agile in Mechatronics-Driven Companies – A Comparative Case Study
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_8openalex-snapshot
Chapter 6 Lightweight Consistency Checking for Agile Model-Based Development in Practice
inferred← citeshttps://doi.org/10.1007/978-3-031-10873-0_9openalex-snapshot
Introduction to the Metrics Theme
inferred← citeshttps://doi.org/10.1007/978-3-032-20752-4_6openalex-snapshot
Information Taxonomy and Ontology
inferred← citeshttps://doi.org/10.1007/978-3-319-91186-1_46openalex-snapshot
Improving Case Based Software Effort Estimation Using a Multi-criteria Decision Technique
inferred← citeshttps://doi.org/10.1007/978-981-16-5640-8_39openalex-snapshot
RETRACTED CHAPTER: Software Effort Estimation of Teacher Engagement Application
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An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering
inferred← citeshttps://doi.org/10.1007/s10489-022-04002-4openalex-snapshot
Towards non-linear regression-based prediction of use case point (UCP) metric
inferred← citeshttps://doi.org/10.1007/s10489-022-04160-5openalex-snapshot
Know-UCP: locally weighted linear regression based approach for UCP estimation
inferred← citeshttps://doi.org/10.1007/s11219-021-09547-0openalex-snapshot
Empirical analysis on productivity prediction and locality for use case points method
inferred← citeshttps://doi.org/10.1007/s11219-022-09612-2openalex-snapshot
Towards ensemble-based use case point prediction
inferred← citeshttps://doi.org/10.1007/s13204-021-02204-9openalex-snapshot
Evaluation of estimation in software development using deep learning-modified neural network
inferred← citeshttps://doi.org/10.1007/s42979-025-04459-3openalex-snapshot
A Novel Hybrid Deep Learning Framework with Metaheuristic Optimization for Accurate Software Effort Estimation
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Simsax: A measure of project similarity based on symbolic approximation method and software defect inflow
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An automatic software vulnerability classification framework using term frequency-inverse gravity moment and feature selection
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Predicting ionic liquid efficiency as steel corrosion inhibitor under static hydrochloric acid immersion using group contribution method
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Predicting software effort from use case points: A systematic review
inferred← citeshttps://doi.org/10.1016/j.scico.2021.102744openalex-snapshot
Locally weighted regression with different kernel smoothers for software effort estimation
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Categorical Variable Segmentation Model for Software Development Effort Estimation
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Parametric Software Effort Estimation Based on Optimizing Correction Factors and Multiple Linear Regression
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An Empirical Study on Software Test Effort Estimation for Defense Projects
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Toward Improving the Efficiency of Software Development Effort Estimation via Clustering Analysis
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Adaptive Discretization Using Golden Section to Aid Outlier Detection for Software Development Effort Estimation
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Comparing Stacking Ensemble and Deep Learning for Software Project Effort Estimation
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Evaluating Kernel Functions in Software Effort Estimation: A Comparative Study of Moving Window and Spectral Clustering Models Across Diverse Datasets
inferred← citeshttps://doi.org/10.1109/access.2024.3510629openalex-snapshot
Integrating Emotional Requirements in Use-Case Point Model for Effort Estimation of Healthcare System
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Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling
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Efficient Software Development Effort Estimation Approaches for Improving Scalability in the Training Phase
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Development of High-dimensional Data Sparse Modeling in Data Space and Its Application in Manufacturing Multi-value Chain Collaboration
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Use Case Points based software effort prediction using regression analysis
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Software Effort Estimation using Machine Learning Algorithms
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Software Effort Estimation with Use Case Point Approach on Website Builder Project: A Systematic Performance Evaluation
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Self-Organizing Map (SOM) For Diagnosis Coronary Heart Disease
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An Evaluation of Parameter Pruning Approaches for Software Estimation
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Software Development Effort Estimation Using Regression Fuzzy Models
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Influence of Outliers on Estimation Accuracy of Software Development Effort
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Using Actors and Use Cases for Software Size Estimation
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Predicting Software Effort from Use Case Points: A Systematic Review
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