activity
20212023
most citedPredicting Flaky Tests Categories using Few-Shot Learning

3 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2023★ 3 cited

The Importance of Discerning Flaky from Fault-triggering Test Failures: A Case Study on the Chromium CI

Guillaume Haben, Sarra Habchi, Mike Papadakis +2

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 fa…

cs.SE2022★ 3 cited

Predicting Flaky Tests Categories using Few-Shot Learning

Amal Akli, Guillaume Haben, Sarra Habchi +2

Flaky tests are tests that yield different outcomes when run on the same version of a program. This non-deterministic behaviour plagues continuous integration with false signals, w…

cs.SE2022★ 1 cited

What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness

Sarra Habchi, Guillaume Haben, Jeongju Sohn +4

Flaky tests are defined as tests that manifest non-deterministic behaviour by passing and failing intermittently for the same version of the code. These tests cripple continuous in…

cs.SE2021★ 1 cited

A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests

Sarra Habchi, Guillaume Haben, Mike Papadakis +2

Test flakiness forms a major testing concern. Flaky tests manifest non-deterministic outcomes that cripple continuous integration and lead developers to investigate false alerts. I…

cs.SE2021

Discerning Legitimate Failures From False Alerts: A Study of Chromium's Continuous Integration

Guillaume Haben, Sarra Habchi, Mike Papadakis +2

Flakiness is a major concern in Software testing. Flaky tests pass and fail for the same version of a program and mislead developers who spend time and resources investigating test…