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Cost-Effective Supervised Learning Models for Software Effort Estimation in Agile Environments
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/s0164-1212(97)00055-1openalex-snapshot
A comparison of software effort estimation techniques: Using function points with neural networks, case-based reasoning and regression models
inferredcites →https://doi.org/10.1109/agile.2006.16openalex-snapshot
An Empirical Study of Using Planning Poker for User Story Estimation
inferredcites →https://doi.org/10.1109/compsac.2016.170openalex-snapshot
Probabilistic Sequence Modeling for Trustworthy IT Servicing by Collective Expert Networks
inferredcites →https://doi.org/10.1109/esem.2011.58openalex-snapshot
Predicting Development Effort from User Stories
inferredcites →https://doi.org/10.1109/icse.1998.671386openalex-snapshot
An experimental study of individual subjective effort estimations and combinations of the estimates
inferredcites →https://doi.org/10.1109/iscis.2007.4456863openalex-snapshot
Software effort estimation using machine learning methods
inferredcites →https://doi.org/10.1109/msr.2010.5463279openalex-snapshot
An extensive comparison of bug prediction approaches
inferredcites →https://doi.org/10.1109/tse.2011.111openalex-snapshot
On the Value of Ensemble Effort Estimation
inferredcites →https://doi.org/10.1109/tse.2011.55openalex-snapshot
Data Mining Techniques for Software Effort Estimation: A Comparative Study
inferredcites →https://doi.org/10.1145/1143844.1143865openalex-snapshot
An empirical comparison of supervised learning algorithms
inferredcites →https://doi.org/10.1145/1390156.1390169openalex-snapshot
An empirical evaluation of supervised learning in high dimensions
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.1145/2487575.2488209openalex-snapshot
An integrated framework for optimizing automatic monitoring systems in large IT infrastructures
inferredcites →https://doi.org/10.5555/302163.302196openalex-snapshot
An experimental study of individual subjective effort estimations and combinations of the estimates
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Improvements in Agile Estimation of Software Project: A Systematic Literature Review
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Efficient Approaches to Agile Cost Estimation in Software Industries: A Project-Based Case Study
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Machine Learning and Value Generation in Software Development: A Survey
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Diverse Bagging Effort Estimation Model for Software Development Project
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Agile Development Using a Hybrid Approach for Cost Estimation of IT Projects
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Machine Learning for Effort Estimation in Agile: A Systematic Literature Review
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Estimation in Agile Software Development Using Artificial Intelligence
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Critical Analysis of the Utilization of Machine Learning Techniques in the Context of Software Effort Estimation
inferred← citeshttps://doi.org/10.1007/s10462-021-10132-xopenalex-snapshot
Data-driven effort estimation techniques of agile user stories: a systematic literature review
inferred← citeshttps://doi.org/10.1038/s41598-022-11565-2openalex-snapshot
An efficient ANFIS-EEBAT approach to estimate effort of Scrum projects
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Development of a hybrid model for software maintenance cost estimation
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Improved Software Effort Estimation Through Machine Learning: Challenges, Applications, and Feature Importance Analysis
inferred← citeshttps://doi.org/10.1109/conisoft.2019.00023openalex-snapshot
Towards a Set of Factors to Identify the Success in Scrum Project Delivery: A Systematic Literature Review
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A Survey of Machine Learning Approach to Software Cost Estimation
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Prioritizing User Requirements for Agile Software Development
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A State of the Art Regressor Model’s comparison for Effort Estimation of Agile software
inferred← citeshttps://doi.org/10.1109/icimu49871.2020.9243459openalex-snapshot
Design and Development of Machine Learning Technique for Software Project Risk Assessment - A Review
inferred← citeshttps://doi.org/10.1109/icimu49871.2020.9243543openalex-snapshot
Software Project Management Using Machine Learning Technique - A Review
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Extended Planning Poker: A Proposed Model
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An Agile Project Management Supporting Approach for Estimating Story Points in User Stories
inferred← citeshttps://doi.org/10.1109/icsecs58457.2023.10256337openalex-snapshot
An Ensemble-Based Framework to Estimate Software Project Effort
inferred← citeshttps://doi.org/10.1142/s021819402350064xopenalex-snapshot
Agile Effort Estimation: Comparing the Accuracy and Efficiency of Planning Poker, Bucket System, and Affinity Estimation Methods
inferred← citeshttps://doi.org/10.1145/3663365openalex-snapshot
A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile
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A Survey on Software Estimation Techniques in Traditional and Agile Development Models
inferred← citeshttps://doi.org/10.13140/rg.2.2.35867.62243openalex-snapshot
Machine Learning and value generation in Software Development: a survey
inferred← citeshttps://doi.org/10.15439/2020f214openalex-snapshot
Machine Learning models to predict Agile Methodology adoption
inferred← citeshttps://doi.org/10.22214/ijraset.2021.38977openalex-snapshot
Estimation Approaches of Machine Learning in Scrum Projects: A Review
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An Efficient Framework for Cost and Effort Estimation of Scrum Projects
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Software Project Management Using Machine Learning Technique—A Review
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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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Technical Debt Aware Estimations in Software Engineering: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.47836/pjst.29.2.08openalex-snapshot
A Review Article on Software Effort Estimation in Agile Methodology
inferred← citeshttps://doi.org/10.5120/ijca2022922238openalex-snapshot
A Systematic Literature Review on Effort Estimation in Agile Software Development using Machine Learning Techniques
inferred← citeshttps://doi.org/10.5121/ijsea.2017.8103openalex-snapshot
Factors on Software Effort Estimation
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User Story Estimation using Natural Language Processing and Deep Learning: A Comparative Study
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Enhancing Software Effort Estimation in Healthcare Informatics: A Comparative Analysis of Machine Learning Models with Correlation-Based Feature Selection
inferred← citeshttps://doi.org/10.6688/jise.2017.33.6.6openalex-snapshot
Risk Aware and Quality Enriched Effort Estimation for Mobile Applications in Distributed Agile Software Development
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