Extração de candidatos a aspectos a partir de descrições de fluxo de casos de uso

• Ano de defesa: 2009
• Autor(a) principal: Campos, Juliana Pinheiro
• Orientador(a): Braga, José Luis
• Banca de defesa: Oliveira, Alcione de Paiva , Valente, Marco Túlio de Oliveira , Andrade, Marcus Vinícius Alvim
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Ciência da Computação
• Departamento: Metodologias e técnicas da Computação; Sistemas de Computação
• País: BR
• Palavras-chave em Português: Casos de uso; Early aspects; Programação orientada a aspectos; Engenharia de requisitos
• Palavras-chave em Inglês: Use cases; Early aspects; Aspect-oriented programming; Requirements engineering
• Área do conhecimento CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://locus.ufv.br/handle/123456789/2601

The identification of aspect candidates in the early stages of software development process allows improving the modularization of the requirements, to detect conflicts early and to maintain the separation of concerns in the later stages of the process. However, the identification of aspects in initial phases is a non-trivial task because the crosscutting concerns can often be scattered across the several requirements documents. This task can be costly and too time-consuming. The goal of this research is to presents a technique to assist in the identification of aspect candidates in the requirements, through inspection. To achieve this objective, a template for use cases description structured was designed, with pre-defined sections, in which non-functional requirements (NFRs) and functional requirements (FRs) aspect candidates can be more readily identified. A checklist for check the use cases description was designed too. Two case studies were carried out: the first to evaluate the ease of understanding and use of template and checklist; the second to evaluate the use of proposed technique. These case studies allow identifying the mains NFRs included in the descriptions made by the participants and in which sections of description they appear. The analysis of results obtained from the case studies let us conclude that the proposed technique facilitates the identification of aspect candidates.