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Continuous Integration (CI) is a development practice where developers frequently integrate code into a common codebase. After the code is integrated, the CI server runs a test suite and other tools to produce a set of reports (e.g., output…

Software Engineering · Computer Science 2021-07-20 Thomas Durieux , Claire Le Goues , Michael Hilton , Rui Abreu

Flaky tests produce inconsistent outcomes without code changes, creating major challenges for software developers. An industrial case study reported that developers spend 1.28% of their time repairing flaky tests at a monthly cost of…

Software Engineering · Computer Science 2025-04-24 Owain Parry , Gregory Kapfhammer , Michael Hilton , Phil McMinn

Flaky tests are tests that can non-deterministically pass or fail, even in the absence of code changes.Despite being a source of false alarms, flaky tests often remain in test suites once they are detected, as they also may be relied upon…

Software Engineering · Computer Science 2024-01-30 Abdulrahman Alshammari , Paul Ammann , Michael Hilton , Jonathan Bell

Prior research has extensively studied flaky tests in various domains, such as web applications, mobile applications, and other open-source projects in a range of multiple programing languages, including Java, Javascript, Python, Ruby, and…

Software Engineering · Computer Science 2025-02-06 Tom Schroeder , Minh Phan , Yang Chen

Reliability of build outcomes is a cornerstone of effective Continuous Integration (CI). Yet in practice, developers often struggle with non-deterministic issues in the code or CI infrastructure, which undermine trust in build results. When…

Software Engineering · Computer Science 2025-09-19 Henri Aïdasso , Francis Bordeleau , Ali Tizghadam

The constant demand for new features and bug fixes are forcing software projects to shorten cycles and deliver updates ever faster, while sustaining software quality. The availability of inexpensive, virtualized, cloud-computing has helped…

Software Engineering · Computer Science 2016-06-03 Yue Yu , Bogdan Vasilescu , Huaimin Wang , Vladimir Filkov , Premkumar Devanbu

Background: Much research has been conducted to investigate the impact of Continuous Integration (CI) on the productivity and quality of open-source projects. Most of studies have analyzed the impact of adopting a CI server service (e.g,…

Software Engineering · Computer Science 2022-08-05 Jadson Santos , Daniel Alencar da Costa , Uirá Kulesza

Continuous Integration (CI) implies that a whole developer team works together on the mainline of a software project. CI systems automate the builds of a software. Sometimes a developer checks in code, which breaks the build. A broken build…

Software Engineering · Computer Science 2017-03-30 Klérisson V. R. Paixão , Crícia Z. Felício , Fernanda M. Delfim , Marcelo de A. Maia

Continuous Integration (CI) provides early feedback by automatically building software, but long build durations can hinder developer productivity. CI services use caching to speed up builds by reusing infrequently changing artifacts, yet…

Software Engineering · Computer Science 2026-03-20 Taher A. Ghaleb , Daniel Alencar da Costa , Ying Zou

Bug-fix benchmarks are fundamental in advancing various sub-fields of software engineering such as automatic program repair (APR) and fault localization (FL). A good benchmark must include recent examples that accurately reflect…

Software Engineering · Computer Science 2024-03-15 Nuno Saavedra , André Silva , Martin Monperrus

Flaky tests are tests that pass and fail on different executions of the same version of a program under test. They waste valuable developer time by making developers investigate false alerts (flaky test failures). To deal with this problem,…

Software Engineering · Computer Science 2023-02-22 Guillaume Haben , Sarra Habchi , Mike Papadakis , Maxime Cordy , Yves Le Traon

Automated regression testing is a cornerstone of modern software development, often contributing directly to code review and Continuous Integration (CI). Yet some tests suffer from flakiness, where their outcomes vary non-deterministically.…

Software Engineering · Computer Science 2026-05-29 Tao Xiao , Dong Wang , Shane McIntosh , Hideaki Hata , Yasutaka Kamei

Continuous Integration (CI) is a well-established practice in traditional software development, but its nuances in the domain of Machine Learning (ML) projects remain relatively unexplored. Given the distinctive nature of ML development,…

Software Engineering · Computer Science 2024-03-15 João Helis Bernardo , Daniel Alencar da Costa , Sérgio Queiroz de Medeiros , Uirá Kulesza

Continuous Integration (CI) systems often run many builds concurrently. In this setting, a legitimate build failure may not be caused by the code push that triggered it. Such unrelated build failures can waste developer effort because…

Software Engineering · Computer Science 2026-05-08 Andie Huang , Daniel Alencar da Costa , Grant Dick , Mariam El Mezouar

GitHub Actions (GHA) CI workflows are critical infrastructure, but current tooling offers only syntactic or heuristic checks and does not enforce documented best practices for security, maintainability, or performance. Consequently, issues…

Software Engineering · Computer Science 2026-05-05 Edward Abrokwah , Taher A. Ghaleb

Non-deterministically behaving test cases cause developers to lose trust in their regression test suites and to eventually ignore failures. Detecting flaky tests is therefore a crucial task in maintaining code quality, as it builds the…

Software Engineering · Computer Science 2023-03-21 Martin Gruber , Michael Heine , Norbert Oster , Michael Philippsen , Gordon Fraser

Software is prone to bugs and failures. Security bugs are those that expose or share privileged information and access in violation of the software's requirements. Given the seriousness of security bugs, there are centralized mechanisms for…

Software Engineering · Computer Science 2020-12-16 Daito Nakano , Mingyang Yin , Ryosuke Sato , Abram Hindle , Yasutaka Kamei , Naoyasu Ubayashi

Continuous Integration (CI) enforces repository-level correctness through multi-stage workflows and is central to modern software development, yet diagnosing and repairing CI failures remains challenging. Unlike traditional program repair,…

Software Engineering · Computer Science 2026-05-06 Rabeya Khatun Muna , Md Nakhla Rafi , Tse-Hsun , Chen

GitHub Marketplace is expanding by approximately 41% annually, with new tools; however, many additions replicate existing functionality. We study this phenomenon in the platform's largest segment, Continuous Integration (CI), by linking…

Software Engineering · Computer Science 2025-08-01 Elmira Onagh , Maleknaz Nayebi

Developers often struggle with maintaining GitHub Actions workflow configurations in GitHub-hosted repositories, with recent studies showing frequent execution failures. This paper empirically explores how the adoption and evolution of…

Software Engineering · Computer Science 2026-05-27 Aref Talebzadeh Bardsiri , Alexandre Decan , Tom Mens
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