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

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.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3691620.3695533
Citations
2
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
0.97
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article

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

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2 citations
Software Testing and Debugging Techniques
0.97
article

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

Mingyang Yin, Yutaro Kashiwa, Shane McIntosh, Yasutaka Kamei, Keheliya Gallaba, Mahmoud Alfadel
article en
2 citations

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.

Kyushu University (JP), University of Waterloo (CA), University of Calgary (CA), Huawei Technologies (Canada) (CA), Nara Institute of Science and Technology (JP)
Openalex Percentile: Top 21%
Software Testing and Debugging Techniques
0.97
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Developer-Applied Accelerations in Continuous Integration: A Detection Approach and Catalog of Patterns — Mingyang Yin, Yutaro Kashiwa, et al. · (2024) | TGRS Research Map | TGRS