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Artificial Intelligence Adoption in Software Development, A Qualitative Study on Developers’ Views

Kauppaymuthoo, Kémaël Josua LU and Collins, Charles (2023) INFM10 20231
Department of Informatics
Abstract
The sustained continued rapid evolution of Artificial Intelligence (AI) has revolutionised various sectors, including software development. This qualitative study employs a thematic analysis approach to investigate the views of individuals participating professionally and personally in software development, focusing on the adoption of Artificial Intelligence (AI) technologies in the field. The research methodology adopts an inductive and iterative methodology. Data collection involved semi-structured interviews conducted in a variety of ways with a concentrated sample of respondents, all of whom understand topics related to software development and more generally, AI. As this study examines the current reaction towards the adoption of AI... (More)
The sustained continued rapid evolution of Artificial Intelligence (AI) has revolutionised various sectors, including software development. This qualitative study employs a thematic analysis approach to investigate the views of individuals participating professionally and personally in software development, focusing on the adoption of Artificial Intelligence (AI) technologies in the field. The research methodology adopts an inductive and iterative methodology. Data collection involved semi-structured interviews conducted in a variety of ways with a concentrated sample of respondents, all of whom understand topics related to software development and more generally, AI. As this study examines the current reaction towards the adoption of AI from software developers, it concludes that the interviewees most notably view AI adoption with varying levels of confidence, low introspected self-reported understanding, a sense of empowerment, conscious for workforce ramifications and ethical wariness. The literature befits the observations made in this paper as they both corroborate and contrast each other. (Less)
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author
Kauppaymuthoo, Kémaël Josua LU and Collins, Charles
supervisor
organization
course
INFM10 20231
year
type
H1 - Master's Degree (One Year)
subject
keywords
software development, artificial intelligence, human artificial intelligence interaction, AI pair-programming, ethics
language
English
id
9123274
date added to LUP
2023-06-14 10:45:25
date last changed
2023-06-14 10:45:25
@misc{9123274,
  abstract     = {{The sustained continued rapid evolution of Artificial Intelligence (AI) has revolutionised various sectors, including software development. This qualitative study employs a thematic analysis approach to investigate the views of individuals participating professionally and personally in software development, focusing on the adoption of Artificial Intelligence (AI) technologies in the field. The research methodology adopts an inductive and iterative methodology. Data collection involved semi-structured interviews conducted in a variety of ways with a concentrated sample of respondents, all of whom understand topics related to software development and more generally, AI. As this study examines the current reaction towards the adoption of AI from software developers, it concludes that the interviewees most notably view AI adoption with varying levels of confidence, low introspected self-reported understanding, a sense of empowerment, conscious for workforce ramifications and ethical wariness. The literature befits the observations made in this paper as they both corroborate and contrast each other.}},
  author       = {{Kauppaymuthoo, Kémaël Josua and Collins, Charles}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Artificial Intelligence Adoption in Software Development, A Qualitative Study on Developers’ Views}},
  year         = {{2023}},
}