Analysis and Defnitions of Efective Metrics for Scrum Teams

• Autores: Ramayo, Federico
• Año de publicación: 2017
• Idioma: inglés
• Tipo de recurso: tesis de grado
• Colaborador/a o director/a de tesis: Polini, Andrea; Moreno, Juan Pablo
• Fuente: Ingeniería en Informática / Laurea Magistrale in Computer Science LM-18
• Materia: Agile Teams and Scrum; Metrics for Scrum Teams; Implementation
• Institución: Universidad Nacional de Catamarca

Fil: Ramayo, Federico. Universidad Nacional de Catamarca. Facultad de Tecnología y Ciencias Aplicadas. Departamento de Informática; Argentina.
Fil: Ramayo, Federico. Università degli Studi di Camerino. Scuola di Scienze e Tecnologie
Nowadays, organizations that are not ready to adapt to changes that are happening every day, are most likely to lose any competitive advantage they have achieved, leaving them lagging behind those who did. In software industry, this can be seen in companies that deliver software once every several months, or do not have a good communication with their customers and do not deliver the functionalities they need/want. In order to counter these problems Agile methodologies were born. Although these methodologies make promises regarding teams' productivity, this aspect does not depend only on the use of a framework but also the practices, processes, and the culture within a team and an organization. The current thesis sets the necessary concepts to establish useful metrics that any software development team practicing Scrum should take into account. To achieve this, in rst place Agile, along with its principles and values, have been de ned and explained, as well as the concepts that rule Agile's most used framework, Scrum. In second place, di erent metrics that are useful for Scrum teams were classi ed and explained. To support the selection of really helpful metrics a survey was carried out. The results obtained, along with an analysis of the available tools for software project management, settled the basis for the establishment of a working environment, which consists of open source applications. These tools cover almost all the spectrum in a software project management, from the speci cation of features to develop, till the deployment of the product, passing through of the coding tasks that developers have to perform along with documentation, testing, among others, as well as the analysis of di erent aspects involved in the team's performance.