links:: [Local library](zotero://select/library/items/ZF4G5YBH), [Web library](https://www.zotero.org/users/1039502/items/ZF4G5YBH)
authors:: [[Antonio Mastropaolo]], [[Fiorella Zampetti]], [[Massimiliano Di Penta]], [[Gabriele Bavota]]
tags:: [[Computer Science - Software Engineering]]
date:: [[31-08-2023]]
item-type:: [[preprint]]
title:: @Toward Automatically Completing GitHub Workflows

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- [[Abstract]]
	- Continuous integration and delivery (CI/CD) are nowadays at the core of software development. Their benefits come at the cost of setting up and maintaining the CI/CD pipeline, which requires knowledge and skills often orthogonal to those entailed in other software-related tasks. While several recommender systems have been proposed to support developers across a variety of tasks, little automated support is available when it comes to setting up and maintaining CI/CD pipelines. We present GH-WCOM (GitHub Workflow COMpletion), a Transformer-based approach supporting developers in writing a specific type of CI/CD pipelines, namely GitHub workflows. To deal with such a task, we designed an abstraction process to help the learning of the transformer while still making GH-WCOM able to recommend very peculiar workflow elements such as tool options and scripting elements. Our empirical study shows that GH-WCOM provides up to 34.23% correct predictions, and the model's confidence is a reliable proxy for the recommendations' correctness likelihood.
- [[Attachments]]
	- [arXiv.org Snapshot](https://arxiv.org/abs/2308.16774) {{zotero-imported-file NZ2YKW8W, "2308.html"}}
	- [Mastropaolo et al_2023_Toward Automatically Completing GitHub Workflows.pdf](https://arxiv.org/pdf/2308.16774.pdf) {{zotero-imported-file 9PRWJCJ7, "Mastropaolo et al_2023_Toward Automatically Completing GitHub Workflows.pdf"}}
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