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Software effort estimation based on open source projects: Case study of Github
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-21579-2_9openalex-snapshot
The Boosting Approach to Machine Learning: An Overview
inferredcites →https://doi.org/10.1007/s10462-012-9339-xopenalex-snapshot
Neural network based models for software effort estimation: a review
inferredcites →https://doi.org/10.1007/s10515-012-0108-5openalex-snapshot
Finding conclusion stability for selecting the best effort predictor in software effort estimation
inferredcites →https://doi.org/10.1007/s10664-016-9472-2openalex-snapshot
Negative results for software effort estimation
inferredcites →https://doi.org/10.1016/0164-1212(94)90110-4openalex-snapshot
Robust regression for developing software estimation models
inferredcites →https://doi.org/10.1016/j.infsof.2004.05.001openalex-snapshot
Software productivity and effort prediction with ordinal regression
inferredcites →https://doi.org/10.1016/j.infsof.2005.04.004openalex-snapshot
Software effort estimation terminology: The tower of Babel
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.2012.08.001openalex-snapshot
Probabilistic size proxy for software effort prediction: A framework
inferredcites →https://doi.org/10.1016/j.infsof.2012.09.012openalex-snapshot
Ensembles and locality: Insight on improving software effort estimation
inferredcites →https://doi.org/10.1016/j.infsof.2013.03.001openalex-snapshot
The influence of selection bias on effort overruns in software development projects
inferredcites →https://doi.org/10.1016/j.infsof.2013.03.007openalex-snapshot
AREION: Software effort estimation based on multiple regressions with adaptive recursive data partitioning
inferredcites →https://doi.org/10.1016/j.infsof.2013.06.002openalex-snapshot
Is lines of code a good measure of effort in effort-aware models?
inferredcites →https://doi.org/10.1016/j.infsof.2014.02.008openalex-snapshot
Investigating the use of duration-based moving windows to improve software effort prediction: A replicated study
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.infsof.2014.11.004openalex-snapshot
A multivariate statistical framework for the analysis of software effort phase distribution
inferredcites →https://doi.org/10.1016/j.jss.2014.10.032openalex-snapshot
Comprehensible software fault and effort prediction: A data mining approach
inferredcites →https://doi.org/10.1016/j.jss.2015.02.006openalex-snapshot
Early effort estimation in web application development
inferredcites →https://doi.org/10.1016/j.jss.2015.03.015openalex-snapshot
Numerical anchors and their strong effects on software development effort estimates
inferredcites →https://doi.org/10.1016/j.jss.2015.03.069openalex-snapshot
Software cost estimating for CMMI Level 5 developers
inferredcites →https://doi.org/10.1016/j.jss.2016.03.048openalex-snapshot
Unit effects in software project effort estimation: Work-hours gives lower effort estimates than workdays
inferredcites →https://doi.org/10.1016/j.jss.2016.05.016openalex-snapshot
Systematic literature review of ensemble effort estimation
inferredcites →https://doi.org/10.1016/s0164-1212(02)00021-3openalex-snapshot
An empirical study of maintenance and development estimation accuracy
inferredcites →https://doi.org/10.1016/s0950-5849(01)00203-8openalex-snapshot
Impact of effort estimates on software project work
inferredcites →https://doi.org/10.1023/a:1008926902882openalex-snapshot
A Survey of Boehm's Work on the Spiral Models and COCOMO II—Towards Software Development Process Quality Improvement
inferredcites →https://doi.org/10.1023/a:1022648800760openalex-snapshot
The Strength of Weak Learnability
inferredcites →https://doi.org/10.1109/32.295895openalex-snapshot
A metrics suite for object oriented design
inferredcites →https://doi.org/10.1109/32.87283openalex-snapshot
Why is software late? An empirical study of reasons for delay in software development
inferredcites →https://doi.org/10.1109/72.883477openalex-snapshot
Variational Gaussian process classifiers
inferredcites →https://doi.org/10.1109/ase11371.2006openalex-snapshot
21st IEEE/ACM International Conference on Automated Software Engineering (ASE'06)
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv.2013.81openalex-snapshot
Cross-View Action Recognition over Heterogeneous Feature Spaces
inferredcites →https://doi.org/10.1109/icse10853.2007openalex-snapshot
29th International Conference on Software Engineering (ICSE'07)
inferredcites →https://doi.org/10.1109/icse16749.2013openalex-snapshot
2013 35th International Conference on Software Engineering (ICSE)
inferredcites →https://doi.org/10.1109/icse48619.2023openalex-snapshot
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
inferredcites →https://doi.org/10.1109/metrics.2005.51openalex-snapshot
Using Grey Relational Analysis to Predict Software Effort with Small Data Sets
inferredcites →https://doi.org/10.1109/ms.2005.73openalex-snapshot
Practical guidelines for expert-judgment-based software effort estimation
inferredcites →https://doi.org/10.1109/tase.2008.2005640openalex-snapshot
An Ensemble ELM Based on Modified AdaBoost.RT Algorithm for Predicting the Temperature of Molten Steel in Ladle Furnace
inferredcites →https://doi.org/10.1109/tse.1983.235271openalex-snapshot
Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation
inferredcites →https://doi.org/10.1109/tse.2003.1245300openalex-snapshot
A simulation study of the model evaluation criterion mmre
inferredcites →https://doi.org/10.1109/tse.2004.103openalex-snapshot
Reasons for software effort estimation error: impact of respondent role, information collection approach, and data analysis method
inferredcites →https://doi.org/10.1109/tse.2006.114openalex-snapshot
Selecting Best Practices for Effort Estimation
inferredcites →https://doi.org/10.1109/tse.2007.1001openalex-snapshot
Cross versus Within-Company Cost Estimation Studies: A Systematic Review
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/10.1109/tse.2010.78openalex-snapshot
The Impact of Irrelevant and Misleading Information on Software Development Effort Estimates: A Randomized Controlled Field Experiment
inferredcites →https://doi.org/10.1109/tse.2011.111openalex-snapshot
On the Value of Ensemble Effort Estimation
inferredcites →https://doi.org/10.1109/tse.2011.27openalex-snapshot
Exploiting the Essential Assumptions of Analogy-Based Effort Estimation
inferredcites →https://doi.org/10.1109/tse.2011.55openalex-snapshot
Data Mining Techniques for Software Effort Estimation: A Comparative Study
inferredcites →https://doi.org/10.1109/tse.2012.83openalex-snapshot
Local versus Global Lessons for Defect Prediction and Effort Estimation
inferredcites →https://doi.org/10.1109/tse.2012.88openalex-snapshot
Active learning and effort estimation: Finding the essential content of software effort estimation data
inferredcites →https://doi.org/10.1109/tse.2013.6openalex-snapshot
Balancing Privacy and Utility in Cross-Company Defect Prediction
inferredcites →https://doi.org/10.1145/1062455.1062559openalex-snapshot
Validation methods for calibrating software effort models
inferredcites →https://doi.org/10.1145/1297797.1297801openalex-snapshot
The impact of size and volatility on IT project performance
inferredcites →https://doi.org/10.1145/2568225.2568228openalex-snapshot
How to make best use of cross-company data in software effort estimation?
inferredcites →https://doi.org/10.1145/2597073.2597107openalex-snapshot
Estimating development effort in Free/Open source software projects by mining software repositories: a case study of OpenStack
inferredcites →https://doi.org/10.1145/2738037openalex-snapshot
A Baseline Model for Software Effort Estimation
inferredcites →https://doi.org/10.1145/2884781.2884827openalex-snapshot
Missing data imputation based on low-rank recovery and semi-supervised regression for software effort estimation
inferredcites →https://doi.org/10.1145/2970276.2970302openalex-snapshot
Privacy preserving via interval covering based subclass division and manifold learning based bi-directional obfuscation for effort estimation
inferredcites →https://doi.org/10.1145/358080.358095openalex-snapshot
An assessment of the prototyping approach to information systems development
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.14257/ijseia.2016.10.2.05openalex-snapshot
Integrated Approach of Software Project Size Estimation
inferredcites →https://doi.org/10.5555/2337223.2337246openalex-snapshot
Privacy and utility for defect prediction: experiments with MORPH
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.2253openalex-snapshot
Effort estimation of open source Android projects via transaction analysis
inferred← citeshttps://doi.org/10.1007/978-3-030-69244-5_2openalex-snapshot
Heterogeneous Software Effort Estimation via Cascaded Adversarial Auto-Encoder
inferred← citeshttps://doi.org/10.1007/978-981-15-5421-6_8openalex-snapshot
Software Effort Estimation Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1007/978-981-96-2373-0_10openalex-snapshot
On the Prediction of Open Source Software Ecosystem Health Based on Time Series Analysis
inferred← citeshttps://doi.org/10.1007/978-981-99-0601-7_40openalex-snapshot
Cost Estimation Model Using Fifth Generation Language Technique for Software Maintenance Project
inferred← citeshttps://doi.org/10.1007/s10586-023-03979-yopenalex-snapshot
Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques
inferred← citeshttps://doi.org/10.1007/s10586-024-04876-8openalex-snapshot
Exploring stacking methods for software effort estimation with hyperparameter tuning
inferred← citeshttps://doi.org/10.1007/s10664-022-10171-0openalex-snapshot
Predicting health indicators for open source projects (using hyperparameter optimization)
inferred← citeshttps://doi.org/10.1007/s10664-022-10260-0openalex-snapshot
Evaluating ensemble imputation in software effort estimation
inferred← citeshttps://doi.org/10.1007/s10664-026-10941-0openalex-snapshot
What do feature branches tell us about feature implementation in open-source projects?
inferred← citeshttps://doi.org/10.1007/s10796-023-10417-2openalex-snapshot
A Framework of Environmental, Personal, and Behavioral Factors of Adult Learning in Online Communities of Practice
inferred← citeshttps://doi.org/10.1007/s11042-023-14522-xopenalex-snapshot
An accurate analogy based software effort estimation using hybrid optimization and machine learning techniques
inferred← citeshttps://doi.org/10.1007/s11334-020-00377-0openalex-snapshot
Software effort estimation using ensemble of hybrid search-based algorithms based on metaheuristic algorithms
inferred← citeshttps://doi.org/10.1007/s12652-021-03427-yopenalex-snapshot
Preliminary performance study of a brief review on machine learning techniques for analogy based software effort estimation
inferred← citeshttps://doi.org/10.1007/s13369-024-08746-8openalex-snapshot
Cost Adjustment for Software Crowdsourcing Tasks Using Ensemble Effort Estimation and Topic Modeling
inferred← citeshttps://doi.org/10.1007/s42979-024-03517-6openalex-snapshot
An Empirical Study on Small-Sized Datasets Based on Eubank’s Optimal Spacing Theorem
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104134openalex-snapshot
Data-driven project buffer sizing in critical chains
inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107447openalex-snapshot
Ensemble effort estimation for novice agile teams
inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107567openalex-snapshot
REARRANGE: Effort estimation approach for software clustering-based remodularisation
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107704openalex-snapshot
Open source oriented cross-platform survey
inferred← citeshttps://doi.org/10.1088/1742-6596/1767/1/012019openalex-snapshot
Comparative analysis of Machine learning and Deep learning algorithms for Software Effort Estimation
inferred← citeshttps://doi.org/10.1109/access.2025.3581401openalex-snapshot
Estimating Technical Debt Through Changes Related to Code Smells in the Evolution of Software Projects
inferred← citeshttps://doi.org/10.1109/ic3e.2018.8632624openalex-snapshot
Extraction Cost of Quality and Testing in Software Project
inferred← citeshttps://doi.org/10.1109/icse43902.2021.00014openalex-snapshot
Playing Planning Poker in Crowds: Human Computation of Software Effort Estimates
inferred← citeshttps://doi.org/10.1145/3185089.3185140openalex-snapshot
Survey of Software Development Effort Estimation Techniques
inferred← citeshttps://doi.org/10.1145/3475960.3475984openalex-snapshot
Heterogeneous ensemble imputation for software development effort estimation
inferred← citeshttps://doi.org/10.1145/3611648openalex-snapshot
The Business Impact of Inner Source and How to Quantify It
inferred← citeshttps://doi.org/10.1145/3630252openalex-snapshot
Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health
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An Empirical Study on Software Developer-Related Factors and Technical Debt in Open-Source Software Projects
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An Optimal Spacing Approach for Sampling Small-sized Datasets
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A Novel Deep Learning and Agent-Based Consensus System for Estimating Story Points
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PROJE EFOR TAHMİNİ İÇİN MAKİNE ÖĞRENMESİ MODELLERİNİN GELİŞTİRİLMESİ VE SHAP YÖNTEMİ KULLANILARAK AÇIKLANMASI
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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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A DNN Anti-Predatory Algorithm-Based Model to Enhance the Efficiency of Software Effort Estimation
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A Research Model for the Economic Assessment of Inner Source Software Development
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A Dataset-Independent Model for Estimating Software Development Effort Using Soft Computing Techniques
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Machine learning based software effort estimation using development-centric features for crowdsourcing platform
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Enhancing Agile Story Point Estimation: Integrating Deep Learning, Machine Learning, and Natural Language Processing with SBERT and Gradient Boosted Trees
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Healthy or Not: A Way to Predict Ecosystem Health in GitHub
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An Ensemble of Hybrid Search-Based Algorithms for Software Effort Prediction
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Sequential Model Optimization for Software Process Control
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A Data Extraction Algorithm from Open Source Software Project Repositories for Building Duration Estimation Models: Case Study of Github
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Duration Estimation Models for Open Source Software Projects
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