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Machine Learning models to predict Agile Methodology adoption

https://doi.org/10.15439/2020f214
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781119203278.app2openalex-snapshot
The Scrum Guide
inferredcites →https://doi.org/10.1007/978-3-030-37534-8_5openalex-snapshot
Quantitative Analysis of the Scrum Framework
inferredcites →https://doi.org/10.1007/s11334-017-0288-zopenalex-snapshot
Empirical assessment of machine learning models for agile software development effort estimation using story points
inferredcites →https://doi.org/10.1016/j.jss.2016.02.049openalex-snapshot
Multi-level agile project management challenges: A self-organizing team perspective
inferredcites →https://doi.org/10.1080/00031305.2018.1549100openalex-snapshot
R-squared for Bayesian Regression Models
inferredcites →https://doi.org/10.1080/00401706.1971.10488811openalex-snapshot
Mean Square Error of Prediction as a Criterion for Selecting Variables
inferredcites →https://doi.org/10.1109/17.820730openalex-snapshot
The adoption of new technology: the case of object-oriented computing in software companies
inferredcites →https://doi.org/10.1109/compsac.2016.85openalex-snapshot
Cost-Effective Supervised Learning Models for Software Effort Estimation in Agile Environments
inferredcites →https://doi.org/10.1109/icst.2019.00047openalex-snapshot
Automating Root Cause Analysis via Machine Learning in Agile Software Testing Environments
inferredcites →https://doi.org/10.1109/ictas.2019.8703639openalex-snapshot
Using Machine Learning to Prioritize Automated Testing in an Agile Environment
inferredcites →https://doi.org/10.1109/tbdata.2016.2564982openalex-snapshot
Agile Big Data Analytics for Web-Based Systems: An Architecture-Centric Approach
inferredcites →https://doi.org/10.1109/tse.2016.2584050openalex-snapshot
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models
inferredcites →https://doi.org/10.1111/aos.16281openalex-snapshot
Machine learning ‐ Basic principles
inferredcites →https://doi.org/10.1145/2783258.2788628openalex-snapshot
An Architecture for Agile Machine Learning in Real-Time Applications
inferredcites →https://doi.org/10.1177/0049124199027003002openalex-snapshot
A Critique of the Bayesian Information Criterion for Model Selection
inferredcites →https://doi.org/10.15439/2016f509openalex-snapshot
Adopting collaborative games into Open Kanban
inferredcites →https://doi.org/10.15439/2017f423openalex-snapshot
Making agile retrospectives more awesome
inferredcites →https://doi.org/10.15439/2018f270openalex-snapshot
Scrum Adoption Challenges Detection Model: SACDM
inferredcites →https://doi.org/10.15439/2019f220openalex-snapshot
Factors that contribute significantly to Scrum adoption
inferredcites →https://doi.org/10.5220/0006681900540064openalex-snapshot
Adopting Collaborative Games into Agile Requirements Engineering

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.2455openalex-snapshot
Scaled agile framework. Dealing with software process‐related challenges of a financial group with the action research approach
inferred← citeshttps://doi.org/10.1002/spe.3201openalex-snapshot
Scaling scrum with a customized nexus framework: A report from a joint industry‐academia research project
inferred← citeshttps://doi.org/10.1007/978-981-96-1185-0_35openalex-snapshot
An Analysis of Software Development for Agile Machine Learning Methodologies
inferred← citeshttps://doi.org/10.1007/s11042-024-19909-yopenalex-snapshot
Improving agility in projects using machine learning algorithm
inferred← citeshttps://doi.org/10.1007/s12065-025-01047-5openalex-snapshot
Machine learning methodologies: history and challenges
inferred← citeshttps://doi.org/10.1016/j.array.2025.100665openalex-snapshot
A data-driven comparative analysis of Agile and Waterfall methodologies: Predicting cost and schedule variances using statistical and machine learning approaches
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103908openalex-snapshot
Remote sensing and machine learning for inferred mariculture site suitability in data-limited tropical coasts: A case study from the Philippines
inferred← citeshttps://doi.org/10.1063/5.0287394openalex-snapshot
Agile methodology prediction using machine learning algorithms
inferred← citeshttps://doi.org/10.1080/08874417.2023.2251443openalex-snapshot
Towards Defining a Trustworthy Artificial Intelligence System Development Maturity Model
inferred← citeshttps://doi.org/10.1109/csde53843.2021.9718470openalex-snapshot
AgileML: A Machine Learning Project Development Pipeline Incorporating Active Consumer Engagement
inferred← citeshttps://doi.org/10.1109/icdt61202.2024.10489437openalex-snapshot
A Review of Machine Learning Models for Predicting Agile Methodology
inferred← citeshttps://doi.org/10.1109/jcsse61278.2024.10613648openalex-snapshot
Enhancing Agile Software Development: A Novel Approach to Automated Requirements Prioritization
inferred← citeshttps://doi.org/10.11591/ijai.v13.i2.pp1557-1566openalex-snapshot
Artificial intelligence for choosing an agile method
inferred← citeshttps://doi.org/10.15439/2020f62openalex-snapshot
Fun Retrospectives in Intel Technology Poland
inferred← citeshttps://doi.org/10.17485/ijst/v17i19.833openalex-snapshot
Analysis of Traditional and Agile Software Development Process for Developing Recommender Model using Machine Learning
inferred← citeshttps://doi.org/10.2139/ssrn.6250988openalex-snapshot
Remote sensing and machine learning for mariculture site suitability in data-limited tropical coasts: A case study from the Philippines
inferred← citeshttps://doi.org/10.22201/fi.25940732e.2024.25.3.017openalex-snapshot
A systematic literature review on machine learning applications for agile project management
inferred← citeshttps://doi.org/10.32604/cmc.2024.051371openalex-snapshot
Enhancing Secure Development in Globally Distributed Software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems
inferred← citeshttps://doi.org/10.33022/ijcs.v13i4.4155openalex-snapshot
Artificial Intelligence Implementation in Agile Project Management Addressing Challenges and Maximizing Impact
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