# Automated System for Evaluating Alternatives for Developing Innovative IT Projects
## 5 Discussion  
In the course of the study, an approach to improving the IT project development quality is considered and implemented through the creation of an automated system for assessing alternative options for the development process. The key aspect of the study is the use of the information-oriented methodology, which provides an opportunity to formulate reasonable options for project implementation, taking into account the supporting factors that affect their efficiency. As part of this approach, modeling of alternative options is carried out, which makes it possible to determine the optimal implementation option taking into account the Pareto set. The use of the linear convolution of criteria method ensures the systematization and combination of factors of different functional orientations that affect the project implementation quality, thus providing the opportunity to obtain a balanced assessment of all options, which becomes a prerequisite for determining the optimal one. Thanks to the methods used, the study allows not only to assess alternatives from the point of view of theoretical validity but also opens up new opportunities for practical application in real conditions of IT project development. In this context, the results that confirm the significant potential of automated systems for optimizing the development processes and increasing the efficiency of project management in the IT industry deserve special attention. Theoretically, the use of the information-oriented methodology has opened the way to creating a basis for making decisions on the optimal options for developing IT projects. The advantages of this methodology include: flexibility in the decision-making process through modeling a set of alternatives; the validity of decisions through the use of the Pareto set and assessment of the factor efficiency; and simplicity of results interpretation through utility functions. It is especially worth noting the efficiency of the method of linear convolution of criteria in taking into account the multi-factor impact on the project development process and at the same time emphasizing the objectivity of the optimization results through the use of the combined functional as a criterion. Developed on the basis of a theoretically sound methodology, the system for selecting the optimal IT project has significant potential for application due to its functionality and ability to ensure the objectivity of the assessment process. Figure 5: Program interface for selecting the optimal IT project. In today's world, where the number of alternative solutions and technological options is constantly growing, the ability to quickly and accurately assess priorities becomes critical to ensuring competitiveness. The use of such systems in project management allows one to reduce the risks of unsuccessful project selection, optimize the resource use and increase the efficiency. At the same time, attention should be paid to the key limitations of the study and their possible effect on the results, which is expressed in the following features: the sensitivity of the model to the content of the set of factors of influence identified by experts on the quality of the IT project development process and the accuracy of determining the weight coefficients of factors; the potential complexity of collecting data for factors influencing the quality; and the dependency of optimization results on the correctness of the formation of the initial set of alternatives. In addition, the list of factors is fixed and cannot be changed or added to by users, which may make it difficult to take individual needs into account.