3 citations · 3 across the 6 of their papers we have counts for
17 papers
Loop Engineering: Building Blocks, Adoption, and Impact
Jai Lal Lulla, Vahram Nersesyan, Seyedmoein Mohsenimofidi +2
Over the past months, the way developers direct agentic AI coding tools has moved up several levels of abstraction, from phrasing prompts to engineering context to configuring the…
An Exploratory Study of Agent Plans for Agentic AI Coding Tools in Open-Source Software
Muhammad Auwal Abubakar, Seyedmoein Mohsenimofidi, Jai Lal Lulla +4
Repository-level configuration artifacts allow developers to provide guidance for agentic AI coding tools, such as Claude Code, Gemini, etc. Although prior research has examined re…
Analyzing developer discussions on EU and US privacy legislation compliance in GitHub repositories
Georgia M. Kapitsaki, Maria Papoutsoglou, Christoph Treude +1
Context: Privacy legislation has impacted the way software systems are developed, prompting practitioners to update their implementations. Specifically, the EU General Data Protect…
Harness Engineering for Agentic AI Coding Tools: An Exploratory Study
Matthias Galster, Seyedmoein Mohsenimofidi, Jai Lal Lulla +3
Agentic AI coding tools increasingly automate software development tasks. Developers can configure these tools through versioned repository-level artifacts such as Markdown and JSO…
Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Sebastian Baltes, Florian Angermeir, Chetan Arora +19
Large Language Models (LLMs) are widely used in software engineering (SE) research and practice, yet their non-determinism, opaque training data, and rapidly evolving models threat…
Does AI Code Review Lead to Code Changes? A Case Study of GitHub Actions
Kexin Sun, Hongyu Kuang, Sebastian Baltes +6
AI-based code review tools automatically review and comment on pull requests to improve code quality. Despite their growing presence, little is known about their actual impact. We…