7 citations · 22 across the 25 of their papers we have counts for
7 papers · 1 filter
The EPIC Framework for Spec-Driven Development
Bruno Claudino, Ruizhe Xing, Yuanhao Zuo +4
One practitioner we interviewed said their team writes "must" instead of "should" when instructing a coding agent, because the agent may treat "should" as optional. Small wording c…
''You Can't Open an LLM With a Screwdriver'': The De-Democratization of Software
Zixuan Feng, Italo Santos, Kostadin Damevski +1
Claims that generative AI will soon write all of the code have led to predictions that programming is nearing its end. In this vision paper, we argue against this assumption that b…
A Low-Cost Human-in-the-Loop Investigation of Toxicity on GitHub at Scale
Rahat Rizvi Rahman, Mia Mohammad Imran, Kostadin Damevski
Toxic interactions in open source discussions can alienate contributors and threaten project sustainability, yet prior empirical studies of GitHub toxicity have been limited in sca…
Investigating Conversational Agents to Support Secondary School Students Learning CSP
Matthew Frazier, Kostadin Damevski, Lori Pollock
Secondary school students enrolled in the AP Computer Science Principles (CSP) course commonly utilize web resources (e.g., tutorials, Q\&A sites) to better understand key concepts…
Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities
Matthew Frazier, Kostadin Damevski
According to constructivist theory, students learn software security more effectively when examples are grounded in their own code. Generic examples often fail to connect with stud…
AXE: Grey-Box Exploitability Confirmation for Localized Vulnerability Reports
Amirali Sajadi, Tu Nguyen, Kostadin Damevski +1
Vulnerability detection tools are widely adopted in software projects, yet they often overwhelm maintainers with false positives and non-actionable reports. Automated exploitation…
A Survey on Large Language Model Impact on Software Evolvability and Maintainability: the Good, the Bad, the Ugly, and the Remedy
Bruno Claudino Matias, Savio Freire, Juliana Freitas +3
Context. Large Language Models (LLMs) are increasingly embedded in software engineering workflows for tasks including code generation, summarization, repair, and testing. Empirical…