A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests
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Abstract (arXiv)
Test flakiness forms a major testing concern. Flaky tests manifest non-deterministic outcomes that cripple continuous integration and lead developers to investigate false alerts. Industrial reports indicate that on a large scale, the accrual of flaky tests breaks the trust in test suites and entails significant computational cost. To alleviate this, practitioners are constrained to identify flaky tests and investigate their impact. To shed light on such mitigation mechanisms, we interview 14 practitioners with the aim to identify (i) the sources of flakiness within the testing ecosystem, (ii) the impacts of flakiness, (iii) the measures adopted by practitioners when addressing flakiness, and (iv) the automation opportunities for these measures. Our analysis shows that, besides the tests and code, flakiness stems from interactions between the system components, the testing infrastructure, and external factors. We also highlight the impact of flakiness on testing practices and product quality and show that the adoption of guidelines together with a stable infrastructure are key measures in mitigating the problem.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Dec 2021.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 1; 2026: 1.
4 papers.
- 2023FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repaircited by 6
- 2025Identifying Flaky Tests in Quantum Code: A Machine Learning Approachcited by 1
- 2024FlaKat: A Machine Learning-Based Categorization Framework for Flaky Testscited by 0
- 2026Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Softwarecited by 0
- 2026Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software9 Mar 2026
- 2025Identifying Flaky Tests in Quantum Code: A Machine Learning Approach6 Feb 2025
- 2024FlaKat: A Machine Learning-Based Categorization Framework for Flaky Tests1 Mar 2024
- 2023FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair21 Jun 2023