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MLA

Alauthman, Mohammad, et al. "Machine Learning for Accurate Software Development Cost Estimation in Economically and Technically Limited Environments." IJSSCI vol.15, no.1 2023: pp.1-24. http://doi.org/10.4018/IJSSCI.331753

APA

Alauthman, M., al-Qerem, A., Alangari, S., Ali, A. M., Nabo, A., Aldweesh, A., Jebreen, I., Almomani, A., & Gupta, B. B. (2023). Machine Learning for Accurate Software Development Cost Estimation in Economically and Technically Limited Environments. International Journal of Software Science and Computational Intelligence (IJSSCI), 15(1), 1-24. http://doi.org/10.4018/IJSSCI.331753

Chicago

Alauthman, Mohammad, et al. "Machine Learning for Accurate Software Development Cost Estimation in Economically and Technically Limited Environments," International Journal of Software Science and Computational Intelligence (IJSSCI) 15, no.1: 1-24. http://doi.org/10.4018/IJSSCI.331753

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Machine Learning for Accurate Software Development Cost Estimation in Economically and Technically Limited Environments

International Journal of Software Science and Computational Intelligence (IJSSCI)

The latest developments in computer science, theoretical software engineering, cognitive science, cognitive informatics, intelligence science, and the crystallization of accumulated knowledge by the fertilization of these areas, have led to the emergence of a transdisciplinary and convergence field known as software and intelligence sciences International Journal of Software Science and Computational Intelligence (IJSSCI) is a transdisciplinary, archived, and rigorously refereed journal that publishes and disseminates cutting-edge research findings and technological developments in the emerging fields of software science and computational intelligence, as well as their engineering applications.


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