activity
20212026
most citedGitHub Actions: The Impact on the Pull Request Process

35 citations · 91 across the 20 of their papers we have counts for

collaborators
Showing 2026Show all

9 papers · 1 filter

cs.SE2026

AgentLogs: A Dataset for Opening the Black Box of Cloud Agents on GitHub

Jonan Richards, Kosei Horikawa, Youmei Fan +2

Coding agents now complete development tasks in real software projects and submit the results as pull requests. A pull request shows the outcome of an agent's execution but not the…

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.CY2026

Teaching Empathy in Software Engineering Education in the Age of Artificial Intelligence

Ronnie de Souza Santos, Cleyton Magalhães, Giuseppe Destefanis +5

Empathy has been discussed as a relevant human capability in software engineering, particularly in activities that require understanding users, stakeholders, and the societal impli…

cs.CY2026

LLM Use, Cheating, and Academic Integrity in Software Engineering Education

Ronnie de Souza Santos, Italo Santos, Mariana Bento +3

Background: Cheating in university education is commonly described as context dependent and influenced by assessment design, institutional norms, and student interpretation. In sof…

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…

cs.SE2026

The Competence Crisis: A Design Fiction on AI-Assisted Research in Software Engineering

Mairieli Wessel, Daniel Feitosa, Sangeeth Kochanthara

Rising publication pressure and the routine use of generative AI tools are reshaping how software engineering research is produced, assessed, and taught. While these developments p…