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pro vyhledávání: '"da Costa, Daniel Alencar"'
Continuous Integration (CI) is a well-established practice in traditional software development, but its nuances in the domain of Machine Learning (ML) projects remain relatively unexplored. Given the distinctive nature of ML development, understandin
Externí odkaz:
http://arxiv.org/abs/2403.09547
Continuous Integration (CI) is a software engineering practice that aims to reduce the cost and risk of code integration among teams. Recent empirical studies have confirmed associations between CI and the software quality (SQ). However, no existing
Externí odkaz:
http://arxiv.org/abs/2309.10205
Continuous Integration (CI) is a software development practice that builds and tests software frequently (e.g., at every push). One main motivator to adopt CI is the potential to deliver software functionalities more quickly than not using CI. Howeve
Externí odkaz:
http://arxiv.org/abs/2305.16365
A key function of a software system is its ability to facilitate the manipulation of data, which is often implemented using a flavour of the Structured Query Language (SQL). To develop the data operations of software (i.e, creating, retrieving, updat
Externí odkaz:
http://arxiv.org/abs/2301.10315
Background: Much research has been conducted to investigate the impact of Continuous Integration (CI) on the productivity and quality of open-source projects. Most of studies have analyzed the impact of adopting a CI server service (e.g, Travis-CI) b
Externí odkaz:
http://arxiv.org/abs/2208.02598
Autor:
Wimalasooriya, Chathrie, Licorish, Sherlock A., da Costa, Daniel Alencar, MacDonell, Stephen G.
Publikováno v:
Journal of Systems and Software 186(2022), pp. 111-166
Intense competition in the mobile apps market means it is important to maintain high levels of app reliability to avoid losing users. Yet despite its importance, app reliability is underexplored in the research literature. To address this need, we id
Externí odkaz:
http://arxiv.org/abs/2206.09762
Publikováno v:
In Information and Software Technology March 2024 167
Two recent studies explicitly recommend labeling defective classes in releases using the affected versions (AV) available in issue trackers. The aim our study is threefold: 1) to measure the proportion of defects for which the realistic method is usa
Externí odkaz:
http://arxiv.org/abs/2011.05531
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