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~ similar to 2607.24387· 20 results

cs.SEEmpiricalRecentJul 13, 2026

Predicting Program Comprehension with Foundation Models of Human Cognition

Yannick Lehmen, Marvin Wyrich, Anna-Maria Maurer, Norman Peitek +1 more

This paper evaluates Centaur, a foundation model trained on psychological experiments, for program comprehension tasks and compares its performance to Llama 3.1.

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cs.HCcs.CRRecentMay 22, 2026

From Preventive to Reactive: How AI Coding Assistants Transform Developers' Security Awareness

Faisal Haque Bappy, Tahrim Hossain, Sidratul Muntaher Meheraj, Annoor Sharara Akhand +4 more

The paper investigates how AI coding assistants shift developers' security focus from proactive prevention to reactive review, finding that this structural change is reinforced by current tool interac…

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cs.CLastro-ph.COastro-ph.IMEmpiricalRecentJul 28, 2026

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology II: Project Planning and Proposal Evaluation

Jia Liu, Veena Krishnaraj, Kateryna Vovk, Kosuke Aizawa +17 more

This paper investigates the ability of large language models to assist in scientific project planning and proposal evaluation, finding that human reviewers rate human- and AI-written proposals similar…

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cs.SEcs.AIEmpiricalRecentJul 8, 2026

3100 Opinions on Code Review in an AI World: Building Causal Theory from Practitioner Discourse

Shyam Agarwal, Courtney Miller, Christian Kästner, Bogdan Vasilescu

This paper synthesizes practitioner discourse at scale to build a causal model explaining the impact of AI on code review, recovering mechanisms behind observed trends.

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cs.SEcs.AIEmpiricalRecentJul 9, 2026

Aleena: Alignment Agent for Research Software Engineering Collaborations

Kshitij Dani, Cordero Core, Landung Setiawan, Carlos Garcia Jurado Suarez +3 more

This paper introduces Aleena, an open-source lifecycle alignment agent that uses GitHub to align research software engineering stakeholders and preserve decision continuity.

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cs.SEEmpiricalRecentJul 7, 2026

Domain-Driven Design in Practice: A Large-Scale Empirical Characterisation of the Open-Source Ecosystem

Ozan Özkan, Önder Babur, Mark van den Brand

This paper provides the first large-scale characterisation of Domain-Driven Design (DDD) adoption and implementation on GitHub.

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cs.SEcs.AIcs.CYEmpiricalRecentJul 15, 2026

Early Adoption of Agentic Coding Tools by GitHub Projects

Maliha Noushin Raida, Daqing Hou

This paper analyzes 25,264 agentic pull requests from 2,361 GitHub repositories to investigate adoption, productivity, and collaboration patterns of agentic coding tools.

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cs.HCcs.AIEmpiricalRecentJun 27, 2026

Exploring the Value of Diverse LLM Explanations in Introductory Programming

Seth Bernstein, Paul Denny, Juho Leinonen, Kush Patel +3 more

This paper explores the effectiveness of diverse LLM-generated explanations versus generic explanations in computer science education, finding that diverse explanations led to higher open-ended respon…

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cs.CRRecentJun 4, 2026

Exploring the connection between coding habits and cognitive styles in malware developers

Vasilis Vouvoutsis, Constantinos Patsakis, Fran Casino

The study analyzes coding patterns in malware versus benign software, finding that malware code is optimized for quick evasion and secrecy rather than maintainability, though its metrics are not uniqu…

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cs.HCcs.AIcs.SEEmpiricalRecentJun 29, 2026

To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks

Jessica Hutchison, Ian Tyler Applebaum, Kenneth Angelikas, Kush Rakesh Patel +5 more

The paper introduces Clover, a code completion tool that logs students' interactions and offers attention checks to promote reflective engagement during programming tasks.

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cs.SEEmpiricalRecentJun 23, 2026

Collaborative and AI-Supported Requirements Elicitation: An Empirical Study

Manoel Salgado Neto, Alan Araujo, Ronnie de Souza Santos

This paper compares four requirements elicitation approaches using AI-supported collaboration and evaluates their impact on requirements artifact quality and stakeholder perceptions.

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cs.HCEmpiricalRecentJun 12, 2026

Visible Adoption, Untracked Contribution: GitHub Evidence of the Accountability Gap Across Three Cohorts of an HCI Prototyping Course

Maria Teresa Parreira, Pranav Prabhat Sinha, Hauke Sandhaus, Wendy Ju

This paper analyzes the shift in student adoption and accountability practices of GenAI tools in a graduate-level HCI prototyping course across three cohorts using GitHub data.

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cs.SEcs.DLEmpiricalRecentJul 24, 2026

A Preliminary Search for Evidence on Government Software Engineering Practices: Results from Three Rapid Reviews

Sebastián Pizard, Matías Porro, Andrea Muñoz, Andrea Delgado

This paper conducts rapid reviews of peer-reviewed publications to assess the availability of evidence on software engineering practices in government agencies.

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cs.SEEmpiricalRecentJul 8, 2026

Biased or Personalized? The Impact of Personal Information on AI-driven Development

Erfan Entezami, Madeline Endres

This paper investigates how developer attributes influence generated software using AI, finding significant differences in interface design, template content, and code structure based on age and gende…

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cs.CRcs.SERecentApr 5, 2026

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories

Fariha Tanjim Shifat, Hariswar Baburaj, Ce Zhou, Jaydeb Sarker +1 more

The paper analyzes GitHub security advisories for LLM-integrated open-source systems, finding that while most vulnerabilities map to existing code-level weaknesses, the architectural risks like Supply…

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cs.SEcs.CRRecentApr 15, 2026

Analysis of Commit Signing on Github

Abubakar Sadiq Shittu, John Sadik, Farzin Gholamrezae, Scott Ruoti

This study provides an ecosystem-scale measurement of commit signing on GitHub, finding that current signing adoption rates are misleading and that developers struggle to maintain consistent, long-ter…

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cs.SEcs.CRcs.HCRecentApr 9, 2026

Security Concerns in Generative AI Coding Assistants: Insights from Online Discussions on GitHub Copilot

Nicolás E. Díaz Ferreyra, Monika Swetha Gurupathi, Zadia Codabux, Nalin Arachchilage +1 more

This paper analyzes online developer discussions to identify four major security concerns—data leakage, code licensing, adversarial attacks, and insecure suggestions—associated with using generative A…

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