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20242026
most citedBridging HCI and AI Research for the Evaluation of Conversational SE Assistants

1 citations · 1 across the 12 of their papers we have counts for

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cs.SE2026

AgentLogs: A Dataset for Opening the Black Box of GitHub's Cloud Agent

Jonan Richards, Kosei Horikawa, Youmei Fan +2

Generative AI-based software engineering agents are becoming routine contributors to real-world software projects. On GitHub, developers can assign tasks to the Copilot cloud agent…

cs.SE2026

How Humans, Bots, and Agents Communicate About Vulnerabilities in Pull Requests

Pien Rooijendijk, Christoph Treude, Mairieli Wessel

Developers may reference vulnerabilities in pull request discussions through both explicit identifiers, such as CVEs or GHSAs, and implicit security-related language (e.g., "unauth…

cs.SE2026

How Fair is Software Fairness Testing?

Ann Barcomb, Mariana Pinheiro Bento, Giuseppe Destefanis +4

Software fairness testing is a central method for evaluating AI systems, yet the meaning of fairness is often treated as fixed and universally applicable. This vision paper positio…

cs.SE2026

An Empirical Study of the Evolution of GitHub Actions Workflows

Pooya Rostami Mazrae, Alexandre Decan, Tom Mens +1

CI/CD practices play a significant role during collaborative software development by automating time-consuming and repetitive tasks such as testing, building, quality checking, dep…

cs.SE2026

Forecasting Developer Environments with GenAI: A Research Perspective

Raula Gaikovina Kula, Christoph Treude, Xing Hu +28

Generative Artificial Intelligence (GenAI) models are achieving remarkable performance in various tasks, including code generation, testing, code review, and program repair. The ab…

cs.SE2026

Who Said CVE? How Vulnerability Identifiers Are Mentioned by Humans, Bots, and Agents in Pull Requests

Pien Rooijendijk, Christoph Treude, Mairieli Wessel

Vulnerability identifiers such as CVE, CWE, and GHSA are standardised references to known software security issues, yet their use in practice is not well understood. This paper com…