AI use in Software Engineering : More than you bargained for?
(2025) 11th International Workshop on Socio-Technical Perspectives in Information Systems, STPIS 2025 In CEUR Workshop Proceedings 4134.- Abstract
The paper relates to the use of Generative Artificial Intelligence in software engineering practice. The nature of Generative Artificial Intelligence is introduced. Drawing upon the literature of the field, the positive benefits of AI use are considered and discussed in relation to some of the drawbacks and challenges involved. The discussion then moves on to examine the views of professionals, ascertained through a longitudinal study involving interviews with experienced, senior software engineers from a number of different organizations. These short interviews were focused on participants’ immediate experience of using GenAI software in their work as professional developers. All companies involved in the investigation have... (More)
The paper relates to the use of Generative Artificial Intelligence in software engineering practice. The nature of Generative Artificial Intelligence is introduced. Drawing upon the literature of the field, the positive benefits of AI use are considered and discussed in relation to some of the drawbacks and challenges involved. The discussion then moves on to examine the views of professionals, ascertained through a longitudinal study involving interviews with experienced, senior software engineers from a number of different organizations. These short interviews were focused on participants’ immediate experience of using GenAI software in their work as professional developers. All companies involved in the investigation have longstanding and significant IT development departments for in-house ICT projects, and client-oriented, collaborative business-to-business projects. The results suggest that an initial experience of significant productivity improvement from AI-supported software development was critically hampered by quality issues. There were unexpected and undesirable software issues and problems, requiring laborious and resource-intensive efforts to address them retrospectively. Significant delays and drains on resources resulted. Some key points for reflection are drawn from the results of this small study.
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- author
- Bednar, Peter LU and Welch, Christine
- organization
- publishing date
- 2025
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- AI supported work, Sociotechnical Perspectives on GenAI use, Software Engineering
- host publication
- CEUR Workshop Proceedings
- series title
- CEUR Workshop Proceedings
- volume
- 4134
- conference name
- 11th International Workshop on Socio-Technical Perspectives in Information Systems, STPIS 2025
- conference location
- Skopje, Macedonia, The Former Yugoslav Republic of
- conference dates
- 2025-09-17 - 2025-09-17
- external identifiers
-
- scopus:105038998478
- ISSN
- 1613-0073
- language
- English
- LU publication?
- yes
- id
- fe93f160-2f70-45b5-963b-7b4ddaa4dd0e
- date added to LUP
- 2026-07-09 14:26:39
- date last changed
- 2026-07-09 14:26:59
@inproceedings{fe93f160-2f70-45b5-963b-7b4ddaa4dd0e,
abstract = {{<p>The paper relates to the use of Generative Artificial Intelligence in software engineering practice. The nature of Generative Artificial Intelligence is introduced. Drawing upon the literature of the field, the positive benefits of AI use are considered and discussed in relation to some of the drawbacks and challenges involved. The discussion then moves on to examine the views of professionals, ascertained through a longitudinal study involving interviews with experienced, senior software engineers from a number of different organizations. These short interviews were focused on participants’ immediate experience of using GenAI software in their work as professional developers. All companies involved in the investigation have longstanding and significant IT development departments for in-house ICT projects, and client-oriented, collaborative business-to-business projects. The results suggest that an initial experience of significant productivity improvement from AI-supported software development was critically hampered by quality issues. There were unexpected and undesirable software issues and problems, requiring laborious and resource-intensive efforts to address them retrospectively. Significant delays and drains on resources resulted. Some key points for reflection are drawn from the results of this small study.</p>}},
author = {{Bednar, Peter and Welch, Christine}},
booktitle = {{CEUR Workshop Proceedings}},
issn = {{1613-0073}},
keywords = {{AI supported work; Sociotechnical Perspectives on GenAI use; Software Engineering}},
language = {{eng}},
series = {{CEUR Workshop Proceedings}},
title = {{AI use in Software Engineering : More than you bargained for?}},
volume = {{4134}},
year = {{2025}},
}