AI-Driven Fault Injection Testing: Enhancing System Resilience with Automated Chaos Engineering
- DOI
- 10.9734/ajrcos/2025/v18i6675
- Published
- 2025-05-08
- Container
- Asian Journal of Research in Computer Science
- Publisher
- Sciencedomain International
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.9734/ajrcos/2025/v18i6675,
title = {AI-Driven Fault Injection Testing: Enhancing System Resilience with Automated Chaos Engineering},
author = {Chhaya Gunawat and Rohit Gupta and Jay Sunil Nankani},
year = {2025},
journal = {Asian Journal of Research in Computer Science},
doi = {10.9734/ajrcos/2025/v18i6675},
url = {https://doi.org/10.9734/ajrcos/2025/v18i6675}
}RIS
TY - JOUR TI - AI-Driven Fault Injection Testing: Enhancing System Resilience with Automated Chaos Engineering AU - Chhaya Gunawat AU - Rohit Gupta AU - Jay Sunil Nankani PY - 2025 JO - Asian Journal of Research in Computer Science DO - 10.9734/ajrcos/2025/v18i6675 UR - https://doi.org/10.9734/ajrcos/2025/v18i6675 ER -
APA
Gunawat, C., Gupta, R., & Nankani, J. S. (2025). AI-Driven Fault Injection Testing: Enhancing System Resilience with Automated Chaos Engineering. Asian Journal of Research in Computer Science. https://doi.org/10.9734/ajrcos/2025/v18i6675
Source records
- crossref · retrieved 2026-09-26T21:04:21.565Z