Practical applications of Scrum: an empirical analysis of Product Backlog management practices

Detalhes bibliográficos
Ano de defesa: 2024
Autor(a) principal: Venni, Federico
Orientador(a): Alves, André Cherubini
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Palavras-chave em Inglês:
Link de acesso: https://hdl.handle.net/10438/36300
Resumo: In the ever-evolving and competitive business landscape, organizations are increasingly adopting Agile methodologies to enhance flexibility, foster collaboration, and deliver value efficiently. Among these methodologies, the Scrum framework has emerged as a prominent approach, providing structured yet adaptable tools to address the complexities of project management. Central to the Scrum framework is the Product Backlog, a dynamic and prioritized list of work items that guides the development process. Despite its critical role, practical insights into the daily management and optimization of the Product Backlog remain limited in the academic discourse. This thesis aims to bridge this gap by exploring the methodologies and practices employed by professionals in managing the Product Backlog effectively. A thorough literature review lays the groundwork by examining existing theoretical models and identifying key practices outlined in Agile and Scrum principles. Building on this foundation, the study employs an empirical approach through a structured questionnaire disseminated among Scrum practitioners across various industries. The collected data underwent rigorous statistical analysis, including descriptive statistics, factor analysis, multiple regression, and k-means cluster analysis. These methods provided a multifaceted view of the prevailing practices, highlighting how factors such as team collaboration, experience level, and the utilization of specific estimation and prioritization techniques influence the overall satisfaction and effectiveness of Product Backlog management. The findings underscore the importance of collaborative story creation, regular and precise estimation of backlog items, and a continuous prioritization process to enhance the efficiency and alignment of development efforts with stakeholder expectations. Furthermore, the cluster analysis revealed distinct approaches to backlog management based on the practitioners' experience levels, offering nuanced insights into how seasoned and novice Scrum users differ in their application of these practices. This research contributes to the existing body of knowledge by not only delineating the practical aspects of Product Backlog management but also offering actionable recommendations for organizations aiming to refine their Scrum processes. By understanding these practices, companies can better tailor their Agile implementations to improve project outcomes, foster team satisfaction, and ultimately drive greater value for their stakeholders.