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Mining software development process variations

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Detalhes bibliográficos
Resumo:Process tailoring aims to customize a software process to better suit the specific needs of an organization when executing a software project or due to a social context in which the process is inserted. Tailoring happens, in general, through variations in the process elements, such as activities, artifacts, and control flows. This paper aims to introduce a technique that uses process mining to uncover elements from the software process that are candidates for tailoring. The proposed approach analyzes the execution logs from several process instances that share a common standard process. As a result, execution traces that differ from the standard process flow are identified and assessed to uncover their variable elements. The proposed technique was evaluated with data extracted from a real software development scenario when a large system was under development for a set of Brazilian Federal Institutes of Education, Science and Technology.
Autores principais:Santos, R.
Outros Autores:Oliveira, T.; Brito e Abreu, F.
Assunto:Variation Software process Process mining Process tailoring
Ano:2015
País:Portugal
Tipo de documento:documento de conferência
Tipo de acesso:acesso aberto
Instituição associada:ISCTE
Idioma:inglês
Origem:Repositório ISCTE
Descrição
Resumo:Process tailoring aims to customize a software process to better suit the specific needs of an organization when executing a software project or due to a social context in which the process is inserted. Tailoring happens, in general, through variations in the process elements, such as activities, artifacts, and control flows. This paper aims to introduce a technique that uses process mining to uncover elements from the software process that are candidates for tailoring. The proposed approach analyzes the execution logs from several process instances that share a common standard process. As a result, execution traces that differ from the standard process flow are identified and assessed to uncover their variable elements. The proposed technique was evaluated with data extracted from a real software development scenario when a large system was under development for a set of Brazilian Federal Institutes of Education, Science and Technology.