Recomendação de contexto de tarefa em desenvolvimento de software

• Ano de defesa: 2019
• Autor(a) principal: Lucas, Edson Mello
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio de Janeiro; Brasil; Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia; Programa de Pós-Graduação em Engenharia de Sistemas e Computação; UFRJ
• Palavras-chave em Português: Recomendação; Contexto; Desenvolvimento de software; CNPQ::CIENCIAS BIOLOGICAS
• Link de acesso: http://hdl.handle.net/11422/14063

The software development workflow typically involves developers executing tasks and manipulating artifacts. When developers receive a new task they typically envision a task context including tasks similar to the new task, artifacts that will need to be changed, and if that is not enough, they try to figure out who can best help based on their past experiences. Given software projects may last several months, accumulating a vast amount of tasks, artifacts and developers, envisioning this initial task context may be difficult and error-prone. This work presents a method that helps developers defining the initial task context by combining interaction information over artifacts with text information of tasks. This work also presents a set of models designed to measure how much developers know about software project elements, such as artifacts, tasks, similar tasks and the whole software project, based on developers’ interactions. The evaluation indicates that the method produces satisfactory recommendations by combining the editing information into artifacts with the textual description of the tasks. The results also indicate that the models can help developers find experts in specific parts of the software project.