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Developer-Applied Accelerations in Continuous Integration: A Detection Approach and Catalog of Patterns

Mingyang Yin, Yutaro Kashiwa, Keheliya Gallaba, Mahmoud Alfadel, Yasutaka Kamei, Shane McIntosh

Abstract

Continuous Integration (CI) provides a feedback loop for the change sets that developers produce. It is crucial that CI processes change sets quickly to provide timely feedback to developers and enable teams to release software updates rapidly. Prior work has made several advances in proposing automated approaches to speed up CI builds. While these approaches have been broadly adopted, CI platforms are flexible enough to enable teams to produce custom strategies to optimize or omit unnecessary or redundant tasks (i.e., developer-applied accelerations). Exploring developer-applied accelerations and identifying recurrent patterns within them may enable broader reuse and can inform recommendations to enhance software development efficiency.

BibTeX
@inproceedings{Yin-al:ASE24,
  author    = {Mingyang Yin and
               Yutaro Kashiwa and
               Keheliya Gallaba and
               Mahmoud Alfadel and
               Yasutaka Kamei and
               Shane McIntosh},
  title     = {{Developer-Applied} Accelerations in Continuous Integration: A Detection Approach and Catalog of Patterns},
  booktitle = {ASE},
  pages     = {1655--1666},
  publisher = {{ACM}},
  year      = {2024},
}

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