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Research Article Peer ReviewedAt least two reviewers Open Access

Predictive Analysis of Cross-Cultural Issues in Global Software Development Using AI Techniques

1Beykoz University 
✉ Corresponding author: Zohaib  Iqbal · zohaibiqbal@ogrenci.beykoz.edu.tr
Proceedings International Trend of Tech Symposium Volume 21 Pages 49–51 Year 2024
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References

  1. Ali, N., & Lai, R. (2021). Global software development: a review of its practices. Malaysian Journal of Computer Science, 34(1), 82-129.
  2. Ting-Toomey, S., & Dorjee, T. (2018). Communicating across cultures. Guilford Publications.
  3. Olson, J. S., & Olson, G. (2013). Working together apart: Collaboration over the internet. Morgan & Claypool Publishers.
  4. Demir, S., & Sahin, E. K. (2023). Application of state-of-the-art machine learning algorithms for slope stability prediction by handling outliers of the dataset. Earth Science Informatics, 16(3), 2497-2509.
  5. Correia, A. B. (2023). The rise of populist attitudes: Using supervised machine learning to identify their main determinants.
  6. Salama, M. (2024). Optimization of Regression Models Using Machine Learning: A Comprehensive Study with Scikit-learn. Optimization of Regression Models Using Machine Learning: A Comprehensive Study with Scikit-learn| IUSRJ, 5.
  7. Chan, J. Y. L., Leow, S. M. H., Bea, K. T., Cheng, W. K., Phoong, S. W., Hong, Z. W., & Chen, Y. L. (2022). Mitigating the multicollinearity problem and its machine learning approach: a review. Mathematics, 10(8), 1283.

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Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide