Detalhes bibliográficos
| Ano de defesa: |
2018 |
| Autor(a) principal: |
CÂNDIDO, Jeanderson Barros |
| Orientador(a): |
D'AMORIM, Marcelo Bezerra |
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
eng |
| Instituição de defesa: |
Universidade Federal de Pernambuco
|
| Programa de Pós-Graduação: |
Programa de Pos Graduacao em Ciencia da Computacao
|
| Departamento: |
Não Informado pela instituição
|
| País: |
Brasil
|
| Palavras-chave em Português: |
|
| Link de acesso: |
https://repositorio.ufpe.br/handle/123456789/30520
|
Resumo: |
Testing is a costly process but essential in the development process. Complex systems may contain long-running test suites. Dealing with high testing costs remains an important problem in Software Engineering despite being under active research for years. Test suite parallelization is an important approach to address this problem, given the popularity of multi-core processors and native suport from testing frameworks and build systems. This work reports our findings on the usage and impact of test suite parallelization in open-source projects. This study brings to light the benefits and burdens of that approach. It provides recommendations to practitioners and tool developers to speed up test execution. Considering a set of 468 popular Java projects we analyzed, we found that 24% of the projects contain costly test suites but parallelization features still seem underutilized in practice—only 19.1% of costly projects use parallelization. The main reported reason for adoption resistance was the concern to deal with concurrency issues. Results suggest that, on average, developers prefer high predictability than high performance in running tests. |
