Exploring the Impact of Integrating UI Testing in CI/CD Workflows on GitHub
April 27, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Xiaoxiao Gan, Chris Brown
arXiv ID
2504.19335
Category
cs.SE: Software Engineering
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Background: User interface (UI) testing, which is used to verify the behavior of interactive elements in applications, plays an important role in software development and quality assurance. However, little is known about the adoption of UI testing frameworks in continuous integration and continuous delivery (CI/CD) workflows and their impact on open-source software development processes. Objective: We aim to investigate the current usage of popular UI testing frameworks-Selenium, Playwright and Cypress-in CI/CD pipelines among GitHub repositories. Our goal is to understand how UI testing tools are used in CI/CD processes and assess their potential impacts on open-source development activity and CI/CD workflows. Method: We propose an empirical study to examine GitHub repositories that incorporate UI testing in CI/CD workflows. Our exploratory evaluation will collect repositories that implement UI testing frameworks in configuration files for GitHub Actions workflows to inspect UI testing-related and non-UI testing-related workflows. Moreover, we further plan to collect metrics related to repository development activity and GitHub Actions workflows to conduct comparative and time series analyses exploring whether UI testing integration and usage within CI/CD processes has an impact on open-source development.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted