In-Sprint Automation: A Much Needed Cultural Shift to Accommodate Generative AI Storm in Quality Engineering Space
| International Journal of Computer Science and Engineering |
| © 2025 by SSRG - IJCSE Journal |
| Volume 12 Issue 9 |
| Year of Publication : 2025 |
| Authors : Nagmani Lnu |
10.14445/23488387/IJCSE-V12I19P102
How to Cite?
Nagmani Lnu, "In-Sprint Automation: A Much Needed Cultural Shift to Accommodate Generative AI Storm in Quality Engineering Space," SSRG International Journal of Computer Science and Engineering , vol. 12, no. 9, pp. 8-11, 2025. Crossref, https://doi.org/10.14445/23488387/IJCSE-V12I19P102
Abstract:
As Gen AI grows, the demand to include Artificial Intelligence in the software testing life cycle will increase to achieve faster release cycles. Quality engineers (QE) will face even more pressure to deliver automated tests within the same sprint as development. This paper presents a practical framework and cultural transformation adopted by a mid-size FinTech enterprise that enabled 90% in-sprint automation coverage. The approach redefines the QE role, leverages method-level reusability, and introduces placeholder scripting to handle partial requirements early in the sprint. Workshops, proofs of concept, and organizational-level rollouts played key roles in scaling this model. Our case study demonstrates how cultural shifts and strategic reuse can bridge the gap between agile development and test automation. This methodology aligns well with the DevOps principle of "shift-left" testing, where test activities are integrated earlier in the lifecycle to reduce feedback cycles and improve quality.
Keywords:
Generative AI, In-Sprint Automation, Selenium, Shift-left Testing, Test Automation.
References:
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