Automated Project Selection System in Software Engineering Based on Neural Network Modeling

International Journal of Computer Science and Engineering

© 2023 by SSRG - IJCSE Journal

Volume 10 Issue 12

Year of Publication : 2023

Authors : Amirali Kerimovs

10.14445/23488387/IJCSE-V10I12P103

How to Cite?

Amirali Kerimovs, "Automated Project Selection System in Software Engineering Based on Neural Network Modeling," SSRG International Journal of Computer Science and Engineering , vol. 10,  no. 12, pp. 10-16, 2023. Crossref, https://doi.org/10.14445/23488387/IJCSE-V10I12P103

Abstract:

The modern software engineering industry is confronted with a constantly growing volume of projects and information. Selecting the most suitable projects for execution is becoming an increasingly complex task. The article examines the methodology of enterprise project management from the perspective of applying the concept of neural network modelling and formulating the critical principles of applying this concept to project management. This paper proposes to develop and investigate an automated project selection system in the field of software engineering, utilizing neural network modelling methods. Our objective is to create an intelligent system capable of analyzing project characteristics and predicting their potential success based on trained neural network models. We suggest conducting an extensive analysis of existing methods and approaches to project selection, followed by the development and training of a neural network model using a collected dataset. It is anticipated that the created system can significantly enhance project selection efficiency and increase the likelihood of successful implementation in the realm of Software Engineering.

Keywords:

Fuzzy logic, Neural network, Project management, Process approach, Software engineering, Uncertainty.

References:

[1] Pedro José Bernalte Sánchez, Fausto Pedro García Márquez, and Mayorkinos Papaelias, “Life Cycle Sustainability Assessment of ENDURUNS Project: Autonomous Marine Vehicles,” International Conference on Management Science and Engineering Management (ICMSEM 2023), vol. 409, pp. 1-11, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Illia Gorbatiuk, “Peculiarities of Project Management in the Context of Software Engineering,” Scientific Papers of Berdiansk State Pedagogical University Series Pedagogical Sciences, no. 3, pp. 267-274, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Kalinina Aksinya Vasilievna, and Petrochenko Marina Vyacheslavovna, “An Integrated Approach to Assessing the Life Cycle of Construction at the Design Stage Using Software Complexes,” Construction: Science and Education, vol. 12, no. 1, pp. 88-100, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Vera Lyubchenko, “About Some Aspects of the Engineering of Software Systems with Elements of Artificial Intelligence,” Methods and Means of Software Engineering, no. 3-4, pp. 99-106, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Christine Lucas-Lamouroux et al., “Model-Based System Engineering, An Industrialization Path For Decommissioning Projects by Assystem,” EPJ Nuclear Sciences and Technologies, vol. 9, no. 24, pp. 1-7, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[6] G. Mirskikh et al., “Life Cycle of the Software of Engineering Objects,” Energy and Automation, no. 5, pp. 115-128, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Andrew Quansah et al., “Requirement Engineering Problems Impacting the Quality of Software in Sub-Saharan Africa,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 30, no. 1, pp. 350-355, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Svetlana's Accident, and Ivanova Olga, “The Choice of Software for the Implementation of Projects Based on Information Modelling Technologies,” Construction and Architecture, vol. 11, no. 3, pp. 100-113, 2023.
[CrossRef] [Publisher Link]
[9] Tatiana Shulga, and Khramov Dmitrii, “Life Cycle Ontology of Software Engineering,” Vestnik of Astrakhan State Technical University Series: Management, Computer Sciences and Informatics, no. 2, pp. 66-74, 2023.
[CrossRef] [Google Scholar] [Publisher Link]