Leveraging AI in Software Testing: Applying ADKAR for Effective Change Management

This paper aims to highlight effective change management practices in AI-related change initiatives. Through 15 expert interviews, we conducted an in-depth case study on the incorporation of an AI coding assistant tool into a global telecommunications company’s software testing process. The tool is intended to aid with test automation development. The study highlights how the ADKAR model was utilized for developing a change management plan tailored to a technology context. Our findings suggest that while the ADKAR model provides a flexible framework that addresses key aspects of AI-related change, its emphasis on a bottom-up approach may limit its applicability for large-scale transformations.

Authors

Institutions

Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/ieem62345.2024.10857157
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging AI in Software Testing: Applying ADKAR for Effective Change Management

Arto Laine, Ville Ojanen
Software Engineering Research
article

Leveraging AI in Software Testing: Applying ADKAR for Effective Change Management

Arto Laine, Ville Ojanen
article en

Abstract

This paper aims to highlight effective change management practices in AI-related change initiatives. Through 15 expert interviews, we conducted an in-depth case study on the incorporation of an AI coding assistant tool into a global telecommunications company’s software testing process. The tool is intended to aid with test automation development. The study highlights how the ADKAR model was utilized for developing a change management plan tailored to a technology context. Our findings suggest that while the ADKAR model provides a flexible framework that addresses key aspects of AI-related change, its emphasis on a bottom-up approach may limit its applicability for large-scale transformations.

Lappeenranta-Lahti University of Technology (FI)
Openalex Percentile: Top 57%
Software Engineering Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.