Paper-Conference

In this paper, we investigate the energy profiles of Continuous Integration (CI) tasks managed by Maven and Gradle. Build systems like Maven and Gradle, with their internal models, provide opportunities for fine-grained classification, which we leverage to study energy-intensive tasks and their associated profile.

Configurable systems become more complex, feature reduction can help focus on essential features while eliminating bloated and unnecessary ones. Although several studies have explored how feature interactions and runtime performance affect energy consumption, none, to our knowledge, have studied the impact of feature reduction. This paper fills this gap. In particular, we investigate how both on-demand and built-in feature reduction affect the energy consumption of configurable systems.

In recent years, the popularization of DevOps and integrated software forges like GitLab and GitHub has largely democratized Continuous Integration (CI) practices for a growing number of software. However, this trend intersects significantly with global energy consumption concerns and the growing demand for frugality in the Information and Communication Technology (ICT) sector. In this paper, we conducted the first large-scale analysis of the energy footprint of CI pipelines implemented with GitHub Actions and provide a first overview of the energy impact of CI

In this paper, we propose a tool-supported approach facilitating the creation of large tailored datasets while ensuring their reproducibility. We leveraged all the sources feeding the Software Heritage append-only archive which are accessible through a unified programming interface to outline a reproducible and generic extraction process.