CHASE 2025
Sun 27 - Mon 28 April 2025 Ottawa, Ontario, Canada
co-located with ICSE 2025

This program is tentative and subject to change.

Background: Artificial Intelligence (AI) is increasingly being used to support software engineering (SE), shifting the role of AI tools for SE (AI4SE) towards team members rather than simply tools. Human-machine teaming (HMT) views humans and machines as members of a team. This approach may be useful in AI4SE but HMT and team effectiveness have received little attention in the software engineering community. Objective: To unpick whether and how HMT and team effectiveness have been applied in AI4SE, and to identify recommendations. Method: A mapping study approach identifies 21 papers on developer-centred AI4SE. Each one is analysed to identify its use of HMT, its focus regarding AI-developer interaction, and any elements of team effectiveness. Results: Different aspects of AI-developer interaction have been considered but only one paper explicitly uses the HMT concept. Some elements of team effectiveness are considered, but others are not addressed at all, and several studies do not consider any. Conclusion: Researchers are encouraged to consider HMT as a framework for AI4SE, to leverage research in all-human teams, adaptive UX and developer motivation to inform tool design, and reduce reliance on human monitoring.

This program is tentative and subject to change.

Sun 27 Apr

Displayed time zone: Eastern Time (US & Canada) change

09:00 - 10:30
Day 1 Opening / Human Aspects and Machine Learning SessionResearch Track at 210
Chair(s): Rashina Hoda Monash University, Ronnie de Souza Santos University of Calgary, Bianca Trinkenreich Colorado State University, Giuseppe Destefanis Brunel University London
09:00
30m
Talk
Day 1 Opening
Research Track
Rashina Hoda Monash University, Ronnie de Souza Santos University of Calgary, Bianca Trinkenreich Colorado State University
09:30
15m
Talk
Unpacking Organizational Change in AI Transformations of Software Engineering
Research Track
Theocharis Tavantzis Gothenburg University, Robert Feldt Chalmers University of Technology, Sweden
09:45
15m
Talk
Human and Machine: How Software Engineers Perceive and Engage with AI-Assisted Code Reviews Compared to Their Peers
Research Track
Adam Alami University of Southern Denmark, Neil Ernst University of Victoria
10:00
15m
Talk
Will You Trust Me More Than ChatGPT? Evaluating LLM-Generated Code Feedback for Mock Technical Interviews
Research Track
Swanand Vaishampayan Virginia Tech, Chris Brown Virginia Tech
10:15
15m
Talk
Human-Machine Teaming and Team Effectiveness in AI tools for Software Engineering
Research Track
Irum Rauf , Helen Sharp The Open University, Tamara Lopez The Open University, Michel Wermelinger The Open University