Software Engineering Project Life Cycle Modeling Based on Neural Network Technologies

International Journal of Computer Science and Engineering

© 2023 by SSRG - IJCSE Journal

Volume 10 Issue 9

Year of Publication : 2023

Authors : Amirali Kerimovs

10.14445/23488387/IJCSE-V10I9P102

How to Cite?

Amirali Kerimovs, "Software Engineering Project Life Cycle Modeling Based on Neural Network Technologies," SSRG International Journal of Computer Science and Engineering , vol. 10,  no. 9, pp. 10-18, 2023. Crossref, https://doi.org/10.14445/23488387/IJCSE-V10I9P102

Abstract:

The article presents a classification and analysis of teams in the field of Software Engineering and the feasibility of their use, depending on the conditions of an externally dynamically changing environment. The role of the project life cycle automation system in the field of Software Engineering is given. It indicates how important attention to resource management is to ensure the effective, timely, and high-quality implementation of project tasks. The article presents a complex sociotechnical safety-oriented system, describes its purpose, and the main functions for controlling the occurrence of errors in the execution of tasks. The importance of neural network risk management in such projects in which they operate under conditions of uncertainty due to the neglect of initiation processes and other phases of the life cycle. This research introduces the novel application of neural networks in software engineering project evaluation, highlighting their adaptability and precision. By strategically integrating neural networks into project stages, the study aims for more accurate assessments and offers customizable analysis options. This innovative approach aligns with the modern digital landscape, emphasizing the synergy between neural network technologies and well-structured project lifecycles, ultimately improving project management and decision-making in software engineering.

Keywords:

Project life cycle, Software engineering, Neural network, Project control software, Data formalization.

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