PreventativeTestPro: A Scalable Hybrid Testing Framework Utilizing Observability and Generative AI for Proactive Software Quality Engineering.

Patel S, Patil K, Meshram V, Chumchu P

DOI: 10.3791/69316
Published: 2026 Mar 24
Container: Journal of visualized experiments : JoVE
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3791/69316,
  title = {PreventativeTestPro: A Scalable Hybrid Testing Framework Utilizing Observability and Generative AI for Proactive Software Quality Engineering.},
  author = {Patel S and Patil K and Meshram V and Chumchu P},
  year = {2026},
  journal = {Journal of visualized experiments : JoVE},
  doi = {10.3791/69316},
  url = {https://doi.org/10.3791/69316}
}

RIS

TY  - JOUR
TI  - PreventativeTestPro: A Scalable Hybrid Testing Framework Utilizing Observability and Generative AI for Proactive Software Quality Engineering.
AU  - Patel S
AU  - Patil K
AU  - Meshram V
AU  - Chumchu P
PY  - 2026
JO  - Journal of visualized experiments : JoVE
DO  - 10.3791/69316
UR  - https://doi.org/10.3791/69316
ER  -

APA

S, P., K, P., V, M., & P, C. (2026). PreventativeTestPro: A Scalable Hybrid Testing Framework Utilizing Observability and Generative AI for Proactive Software Quality Engineering.. Journal of visualized experiments : JoVE. https://doi.org/10.3791/69316

Source records

pubmed · retrieved 2026-11-10T05:49:55.316Z