Repeated builds during code review: An empirical study of the OpenStack community
Code review is a popular practice where developers critique each others' changes. Since
automated builds can identify low-level issues (eg, syntactic errors, regression bugs), it is not …
automated builds can identify low-level issues (eg, syntactic errors, regression bugs), it is not …
The impact of concept drift and data leakage on log level prediction models
Developers insert logging statements to collect information about the execution of their
systems. Along with a logging framework (eg, Log4j), practitioners can decide which log …
systems. Along with a logging framework (eg, Log4j), practitioners can decide which log …
RavenBuild: Context, Relevance, and Dependency Aware Build Outcome Prediction
Continuous Integration (CI) is a common practice adopted by modern software
organizations. It plays an especially important role for large corporations like Ubisoft, where …
organizations. It plays an especially important role for large corporations like Ubisoft, where …
The importance of discerning flaky from fault-triggering test failures: A case study on the chromium ci
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 …
program under test. They waste valuable developer time by making developers investigate …
Code Impact Beyond Disciplinary Boundaries: Constructing a Multidisciplinary Dependency Graph and Analyzing Cross-Boundary Impact
To produce a video game, engineers and artists must iterate on the same project
simultaneously. In such projects, a change to the work products of any of the teams can …
simultaneously. In such projects, a change to the work products of any of the teams can …
Options Matter: Documenting and Fixing Non-Reproducible Builds in Highly-Configurable Systems
GA Randrianaina, DE Khelladi… - 2024 IEEE/ACM 21st …, 2024 - ieeexplore.ieee.org
A critical aspect of software development, build reproducibility, ensures the dependability,
security, and maintainability of software systems. Although several factors, including the …
security, and maintainability of software systems. Although several factors, including the …
Post deployment recycling of machine learning models: Don't Throw Away Your Old Models!
Abstract Once a Machine Learning (ML) model is deployed, the same model is typically
retrained from scratch, either on a scheduled interval or as soon as model drift is detected, to …
retrained from scratch, either on a scheduled interval or as soon as model drift is detected, to …
An Empirical Study on Code Review Activity Prediction and Its Impact in Practice
During code reviews, an essential step in software quality assurance, reviewers have the
difficult task of understanding and evaluating code changes to validate their quality and …
difficult task of understanding and evaluating code changes to validate their quality and …
230,439 Test Failures Later: An Empirical Evaluation of Flaky Failure Classifiers
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 …
changes. Despite being a source of false alarms, flaky tests often remain in test suites once …
On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics-Empirical Study on Brown Build and Risk Prediction
Nowadays, software analytics tools using machine learning (ML) models to, for example,
predict the risk of a code change are well established. However, as the goals of a project …
predict the risk of a code change are well established. However, as the goals of a project …