2024, 01 January |
DOI: 10.14489/td.2024.01.pp.048-055 Garanin I. V., Sadovskaya N. E. Abstract. This article discusses the development and implementation of a system of metrics for assigning employees of various levels of training to projects of varying complexity. Quality is an important aspect of software development, therefore, the development of a system that allows you to evaluate and control the assignment of employees to projects at various stages of creating a software product is an urgent task. The article suggests an approach to the development of such a system based on the analysis of existing methods and practices. The system of metrics for assessing competencies and complexity of projects may include various indicators, such as the number of integrations of a project, the complexity of the code, or experience in implementing complex integration projects or experience in implementing similar projects. The implementation of the system will allow you to evaluate the project and assign to it a certain training of analysts, testers and developers at various stages of software product development, which will allow you to implement it competently and without a large number of errors, as well as reduce development time. In addition, the article discusses the methodology of using a system of metrics for assigning human resources. This includes analyzing the data obtained, identifying trends and errors, as well as taking appropriate measures to assign resources to projects. Using the system will allow development companies to make more informed decisions regarding the quality of software products and increase customer satisfaction. In general, the article presents the basic principles and methods of developing and implementing a system for implementing a control system and assigning employees to projects, as well as describes the practical applications and benefits of using such a system. Keywords: software development, quality management, standardization, quality assurance, agile software development methodologies, SCRUM, KPI, SLA.
I. V. Garanin, N. E. Sadovskaya (Institute of Radio Engineering and Tele-communication Systems, RTU MIREA, Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
1. Bass J. М. (2012). Influences on Agile Practice Tailoring in Enterprise Software Development. Proceedings of AGILE India. IEEE Computer Society. Washington.
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