Flaky Test Automation and Mitigating Test Crashes in Agile Releases

Flaky tests—tests that fail non-deterministically without any changes in code—pose a serious threat to the reliability and efficiency of automated testing pipelines. They lead to wasted engineering hours, reduced confidence in CI/CD systems, and increased costs. This paper provides an in-depth analysis of the causes of flaky test automation and presents actionable strategies to detect, diagnose, and mitigate test flakiness and crashes. We also explore emerging tools, AI-assisted techniques, and empirical studies that highlight industry practices for maintaining robust and deterministic test suites.In risk management and software testing industry, prevention aims to stop an event from happening in the first place, while mitigation focuses on reducing the severity or impact of an event that has already occurred or is unavoidable. Prevention is proactive, trying to stop a problem before it starts, while mitigation is reactive, managing the consequences of a problem. In this research, we are broadly describing techniques of mitigation of occurred and detected flaky test failures and automation crashes.

Authors

Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2025-08-08
DOI
https://doi.org/10.22399/ijcesen.3644
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Flaky Test Automation and Mitigating Test Crashes in Agile Releases

Sandeep Grover, Sanjay Das
International Journal of Computational and Experimental Science and Engineering
Software Testing and Debugging Techniques
article

Flaky Test Automation and Mitigating Test Crashes in Agile Releases

Sandeep Grover, Sanjay Das
article en

Abstract

Flaky tests—tests that fail non-deterministically without any changes in code—pose a serious threat to the reliability and efficiency of automated testing pipelines. They lead to wasted engineering hours, reduced confidence in CI/CD systems, and increased costs. This paper provides an in-depth analysis of the causes of flaky test automation and presents actionable strategies to detect, diagnose, and mitigate test flakiness and crashes. We also explore emerging tools, AI-assisted techniques, and empirical studies that highlight industry practices for maintaining robust and deterministic test suites.In risk management and software testing industry, prevention aims to stop an event from happening in the first place, while mitigation focuses on reducing the severity or impact of an event that has already occurred or is unavoidable. Prevention is proactive, trying to stop a problem before it starts, while mitigation is reactive, managing the consequences of a problem. In this research, we are broadly describing techniques of mitigation of occurred and detected flaky test failures and automation crashes.

International Journal of Computational and Experimental Science and EngineeringVol. 11(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Software Testing and Debugging Techniques
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