2 citations · 4 across the 8 of their papers we have counts for
9 papers
Let the Agent Do It? How Software Practitioners Understand and Make Permission Decisions in Agentic AI Assistants
Larissa Salerno, Haoyu Gao, Gregory Gay +2
Agentic AI assistants increasingly act on developers' behalf by modifying files, executing commands, and accessing external resources. These actions often require permission, yet l…
ARGUS: MCP-Grounded Root Cause Analysis for Kubernetes Incidents
Ergi Senja, Seyed Mohammad Reza Razavi Zadegan, Philipp Leitner
Kubernetes incident triage requires correlating signals from metrics, logs, container state, and messaging systems across multiple monitoring tools, a fragmented workflow that slow…
Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code
Ranim Khojah, Francisco Gomes de Oliveira Neto, Mazen Mohamad +2
Modern software development increasingly involves the use of large language models (LLMs) to generate code. Despite their rapid advancement, LLMs remain prone to errors and halluci…
Patterns of Developer Adoption of LLM-Generated Code Refactoring Suggestions
David Schön, Faiza Amjad, Tehreem Asif +4
Large language models (LLMs) have gained widespread popularity and have steadily improved over time, enabling software developers to use them for various code-related tasks. One co…
LLM Company Policies and Policy Implications in Software Organizations
Ranim Khojah, Mazen Mohamad, Linda Erlenhov +2
The risks associated with adopting large language model (LLM) chatbots in software organizations highlight the need for clear policies. We examine how 11 companies create these pol…
The Impact of Prompt Programming on Function-Level Code Generation
Ranim Khojah, Francisco Gomes de Oliveira Neto, Mazen Mohamad +1
Large Language Models (LLMs) are increasingly used by software engineers for code generation. However, limitations of LLMs such as irrelevant or incorrect code have highlighted the…
From Human-to-Human to Human-to-Bot Conversations in Software Engineering
Ranim Khojah, Francisco Gomes de Oliveira Neto, Philipp Leitner
Software developers use natural language to interact not only with other humans, but increasingly also with chatbots. These interactions have different properties and flow differen…
Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice
Ranim Khojah, Mazen Mohamad, Philipp Leitner +1
Large Language Models (LLMs) are frequently discussed in academia and the general public as support tools for virtually any use case that relies on the production of text, includin…
The Cure is in the Cause: A Filesystem for Container Debloating
Huaifeng Zhang, Mohannad Alhanahnah, Philipp Leitner +1
Containers have become a standard for deploying applications due to their convenience, but they often suffer from significant software bloat-unused files that inflate image sizes,…