Predictive Test Automation: Shaping the Future of Quality Engineering in Enterprise Platforms

Authors

  • Srimaan Yarram ,Srinivasa Rao Bittla

Keywords:

complexity , modern software systems , accelerated pace of delivery cycles , quality assurance

Abstract

The increasing complexity of modern software systems and the speed of delivery cycles need a revolution in quality assurance procedures. Predictive test automation, employing artificial intelligence (AI) and machine learning (ML), offers a transformative solution to these challenges. This paper analyzes the impact of predictive test automation on quality engineering by enabling early defect detection, optimizing testing processes, and enhancing

References

Agarwal, Giriraj. 2018. "Test Case Automation: Transforming Software Testing in the Digital Era."

Jernberg, Hugo, Runeson, P., and Engström, Emelie. 2019. "Getting Started with Chaos Engineering - Design of an Implementation Framework in Practice." International Symposium on Empirical Software Engineering and Measurement.

Salinas, Edaena. 2018. "Tammy Butow on Chaos Engineering." IEEE Computer Society.

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Published

2023-12-21

How to Cite

Srimaan Yarram ,Srinivasa Rao Bittla. (2023). Predictive Test Automation: Shaping the Future of Quality Engineering in Enterprise Platforms . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 877–883. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1814

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