6 papers
CodeHealth Predicts the Token Cost of Agentic Code Review: A Pre-Registered Study of 465 Agent-Authored Pull Requests
Lo Gullstrand Heander, Markus Borg, Emma Söderberg +1
Context: Organizations increasingly delegate code review to multi-agent large language model (LLM) pipelines billed per token. Low code quality raises human maintenance effort, but…
Orchestrating AI-Assisted Code Remediation: Socio-Technical Bottlenecks in a Large Industrial Repository
Andreas Bexell, Lo Gullstrand Heander, Emma söderberg
Background: Code degradation in large, long-lived codebases is costly to remediate through manual refactoring and opportunistic clean-ups. LLM-based coding assistants can perform m…
Helpful but Fallible: Developer Experiences of AI Tools Under a Coordinated Industrial Roll-out
Andreas Bexell, Rushali Gupta, Lo Gullstrand Heander +5
AI-enabled software development tools (AI-devtools) are being industrially adopted under strong expectations of productivity gains, yet developers' experiences of such roll-outs ar…
Trust-Calibrated Code Review: A Participatory Design Study of Review Workflows for LLM-Generated Multi-File Changes
Lo Gullstrand Heander, Agnia Sergeyuk, Ilya Zakharov +2
Background: Developers increasingly review multi-file code changes generated by LLM-based agents, yet no validated end-to-end workflow or IDE tooling design exists for this scenari…
Code Review as Decision-Making -- Building a Cognitive Model from the Questions Asked During Code Review
Lo Gullstrand Heander, Emma Söderberg, Christofer Rydenfält
Code review is a well-established and valued practice in the software engineering community contributing to both code quality and interpersonal benefits. However, there are challen…
Study of the Use of Property Probes in an Educational Setting
Anton Risberg Alaküla, Niklas Fors, Emma Söderberg
Context: Developing compilers and static analysis tools ("language tools") is a difficult and time-consuming task. We have previously presented *property probes*, a technique to he…