A data-driven comparative analysis of Agile and Waterfall methodologies: Predicting cost and schedule variances using statistical and machine learning approaches
Project management methodologies like Agile, Waterfall, etc., play an impactful role in key performance indicators of the project, such as cost variance, schedule variance, etc. In this work, we deep dive into these variances with data-driven techniques and discover machine learning models for cost...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Elsevier
2026-03-01
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| Edice: | Array |
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| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2590005625002929 |
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