Automated System for Evaluating Alternatives for Developing Innovative IT Projects
Source abstract
Abstract
Software engineering occupies a prominent place in the theory and practice of simulation modeling, which necessitates scientific research in the field of methodological principles for forming software product quality. The problem of determining the optimal option for software development is one of the key ones in the field of information technology because it determines the quality of the final product and the efficiency of project management. The article considers the concept of developing an automated system, the basis of which is the software for assessing alternatives in the process of creating innovative IT projects. The main goal of the study is to model alternatives and select the optimal option for the process of creating an IT project using modern methodological approaches. For this purpose, the methods of ontological analysis, expert evaluation, multi-criteria optimization, pairwise comparisons and multi-factor selection of alternatives are applied. In the course of the research, a subset of Pareto factors is singled out and alternative development options are formed based on the method of linear convolution of criteria. The proposed methodology allows for assessing the importance of key factors and selecting the optimal option for the software development process. As a result, the developed approach contributes to strategic planning and increases the transparency of the decision-making process. The key result of the research is the created software product that allows one to automate the procedure for selecting the optimal solution for the IT project development process, providing reliable support for simulation modeling and increasing the efficiency of project management. The proposed methodology creates a new paradigm for making informed decisions regarding systems for creating complex software complexes.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Engineering Education and Technology · Economic and Technological Systems Analysis · Advanced Research in Systems and Signal Processing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Virtual Reality Systems, Institute of Computer Science and Information Technologies, Lviv Polytechnic National University, 79013 Lviv, Ukraine
Department of Computer Technologies in Publishing and Printing Processes, Institute of Printing Art and Media Technologies, Lviv Polytechnic National University, 79013 Lviv, Ukraine
Department of Automated Control Systems, Institute of Computer Science and Information Technologies, Lviv Polytechnic National University, 79013 Lviv, Ukraine
References (40)
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