Banca de DEFESA: JOAO HELIS JUNIOR DE AZEVEDO BERNARDO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : JOAO HELIS JUNIOR DE AZEVEDO BERNARDO
DATA : 31/07/2017
HORA: 08:30
LOCAL: IMD/CIVT, Auditorio B321
TÍTULO:

The Impact of Adopting Continuous Integration on the Delivery Time of Merged Pull Requests: An Empirical Study


PALAVRAS-CHAVES:

Continuous Integration; Pull-based Development; Pull Request; Delivery Time; Delivery Delay;Mining Software Repositories.


PÁGINAS: 94
RESUMO:

Continuous Integration (CI) is a software development practice that leads developers to integrate their work more frequently. Software projects have broadly adopted CI to ship new releases more frequently and to improve code integration. The adoption of CI is usually motivated by the allure of delivering new software content more quickly and frequently. However, there is little empirical evidence to support such claims. Over the last years, many available software projects from social coding environments such as GitHub have adopted the CI practice using CI facilities that are integrated into these environments (e.g., Travis-CI). In this dissertation, we empirically investigate the impact of adopting CI on the time-to-delivery of pull requests (PRs), through the analysis of 167,037 PRs of 90 GitHub projects that are implemented in 5 different programming languages. The results show that a median of 13.8% of merged pull requests have their delivery postponed by at least one release before adopting CI, while after adopting CI, a median of 24% of merged PRs have their delivery postponed to future releases. Contrary to what one might speculate, we find that PRs tend to wait longer to be delivered after the adoption of CI in the majority (53%) of the studied projects. The large increase of PR submissions after CI is a key reason as to why these projects deliver PRs more slowly after adopting CI. 77.8% of the projects increase the rate of PR submissions after adopting CI. To investigate the factors that are related to the time-to-delivery of merged PRs, we train linear and logistic regression models, which obtain sound median R-squares of 0.72-0.74, and good median AUC values of 0.85-0.90. A deeper analysis of our models suggests that, before and after the adoption of CI, the intensity of code contributions to a release may increase the delivery time due to a higher integration-load (regarding integrated commits) of the development team. Finally, we are able to accurately identify merged pull requests that have a prolonged delivery time. Our regression models obtained median AUC values of 0.92 to 0.97.


MEMBROS DA BANCA:
Presidente - 1644456 - UIRA KULESZA
Interno - 1671962 - EDUARDO HENRIQUE DA SILVA ARANHA
Interno - 1709820 - ROBERTA DE SOUZA COELHO
Externo à Instituição - MARCELO DE ALMEIDA MAIA - UFU
Notícia cadastrada em: 20/07/2017 16:26
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