International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 3
May-June 2026
Indexing Partners
Predictive Analytics for Flaky Test Detection and Resolution Using Historical Test Data
| Author(s) | Himani Singhai |
|---|---|
| Country | India |
| Abstract | Getting solid, high-quality products out the door depends more and more on smart methods that smooth out the testing steps. Flaky tests are the ones that don't give the same result every time—cause real headaches because they make us doubt our continuous integration and delivery setups. But there is a pretty neat way to spot and fix this unreliability by looking back at old test data. Using big piles of info from past tests, AI models can find clues that tell us a test is likely to be flaky. |
| Keywords | Predictive analytics, Flaky tests, Historical test data, AI-powered tools in SDLC, DOM selectors |
| Field | Computer Applications |
| Published In | Volume 5, Issue 5, September-October 2023 |
| Published On | 2023-09-09 |
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E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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