cs.SE · 2026-05-28 · No. 11

Software Engineering, 2026-05-28.

4 new papers in cs.SE. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

4 entries
  1. 01

    Do LLMs Favor Their Providers? Measuring Vertical Integration Bias in Code Generation

    Melih Catal, Alex Wolf, Tiago Ferreiro Matos, Pooja Rani, Harald Gall

    cs.SE · cs.AI

    Large Language Models (LLMs) have become an integral part of software development, especially with the advent of agentic capabilities. Yet, many frontier LLMs are affiliated with specific providers. This raises the question of whether generated code favors the provider's own ecosystem over comparable alternatives, potentially constraining developers' choices and increasing dependence on a single provider. We define this behavior as Vertical...

    arxiv.org/abs/2605.28515 · PDF

  2. 02

    Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets

    Andrea Gurioli, Davide D'Ascenzo, Federico Pennino, Maurizio Gabbrielli, Stefano Zacchiroli

    cs.SE · cs.AI · cs.IR

    Large language models (LLMs) for code completion and generation are increasingly used in software development, yet they may reproduce training examples verbatim and without authorship attribution, raising legal and ethical concerns around plagiarism and license compliance. Classical fingerprint-based plagiarism detectors based on fingerprinting, such as Winnowing, remain highly effective, yet the inspection requires comparing fragments of...

    arxiv.org/abs/2605.28510 · PDF

  3. 03

    Multi-Agent LLM-based Metamorphic Testing for REST APIs

    Shehroz Khan, Abdullah Mughees, Gaadha Sudheerbabu, Tanwir Ahmad, Dragos Truscan

    cs.SE · cs.AI

    As REST APIs become an increasingly significant part of software systems, their validation is becoming more critical. Hence, testing and uncovering underlying issues are of utmost importance for improving software quality. However, testing REST APIs is challenging mainly due to the difficulty of assessing whether the output of an API call is correct, i.e., the test oracle problem. Metamorphic testing is a specification-based testing approach...

    arxiv.org/abs/2605.28321 · PDF

  4. 04

    GUI Agents for Continual Game Generation

    Yixu Huang, Bo Li, Na Li, Zhe Wang, Kaijie Chen, Haonan Ge, Qingyi Si, Yuanzhe Shen, Ruihan Yang, Guangjing Wang,...

    cs.SE · cs.AI · cs.CV · cs.HC

    Generating a game is not the same as making one that can be played. Despite advances in code generation, existing approaches treat game generation as one-shot translation from prompt to artifact, leaving interaction-level failures undetected. We argue that evaluating and improving game generation requires a player, and study two roles for graphical user interface (GUI) agents in this process: (1) as an objective evaluator, for which we...

    arxiv.org/abs/2605.28258 · PDF

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