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Contrasting the Hyperparameter Tuning Impact Across Software Defect Prediction Scenarios
Mohamed Sami Rakha, Andriy Miranskyy, Daniel Alencar da Costa
Software defect prediction (SDP) is crucial for delivering high-quality software products. Recent research has indicated that prediction performance improvements in SDP are achieva…
On the Need to Monitor Continuous Integration Practices -- An Empirical Study
Jadson Santos, Daniel Alencar da Costa, Shane McIntosh +1
Continuous Integration (CI) encompasses a set of widely adopted practices that enhance software development. However, there are indications that developers may not adequately monit…
How do Machine Learning Projects use Continuous Integration Practices? An Empirical Study on GitHub Actions
João Helis Bernardo, Daniel Alencar da Costa, Sérgio Queiroz de Medeiros +1
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 un…
Continuous Integration and Software Quality: A Causal Explanatory Study
Eliezio Soares, Daniel Alencar da Costa, Uirá Kulesza
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 associ…
Studying the Characteristics of SQL-related Development Tasks: An Empirical Study
Daniel Alencar da Costa, Natalie Grattan, Nigel Stanger +1
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 dev…
The Effects of Continuous Integration on Software Development: a Systematic Literature Review
Eliezio Soares, Gustavo Sizilio, Jadson Santos +2
Context: Continuous integration (CI) is a software engineering technique that proclaims a set of frequent activities to assure the health of the software product. Researchers and p…