cs.SE · 2026-09-05 · No. 106

Software Engineering, 2026-09-05.

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

    SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents

    Xin He, Yanlin Wang, Mingwei Liu, Jiachi Chen, Hongyu Zhang, Guanbin Li

    cs.SE · cs.AI

    Repository-level software engineering benchmarks have significantly advanced the evaluation of coding agents, but existing benchmarks primarily measure whether generated patches pass functional tests and overlook review-derived acceptance constraints (review constraints) that often influence whether a patch is acceptable in real-world software development. We introduce SWE-Gate, a repository-level benchmark for software engineering agents...

    arxiv.org/abs/2609.04167 · PDF

  2. 02

    When Models Edit Too Much: On the Fidelity of Minimal Code Edits

    Tongyao Zhu, Wei Hern Lim, Min-Yen Kan

    cs.SE · cs.AI · cs.CL

    Large language models (LLMs) are increasingly used to edit existing code, but correctness alone is not enough: useful repairs should also be minimal, reviewable, and faithful to the original implementation. We study over-editing, the tendency of a model to rewrite code beyond what is required to fix a bug. We construct an evaluation framework from 400 BigCodeBench problems by injecting controlled AST-level corruptions into reference...

    arxiv.org/abs/2609.04061 · PDF

  3. 03

    Can LLMs Extract Architectural Design Decisions from Source Code Commits? - A Preliminary Exploratory Study

    Amey Karan, Rudra Dhar, Mohamed Soliman, Karthik Vaidhyanathan

    cs.SE · cs.AI

    Context: Architectural Design Decisions (ADDs) capture the rationale behind the structure and evolution of software systems but are rarely documented explicitly, and are often hidden inside source code commits. Recovering them is important for Architectural Knowledge Management (AKM). Problem: Extracting ADDs from commits is challenging due to their implicit and unstructured nature. Large Language Models (LLMs) have shown strong capabilities...

    arxiv.org/abs/2609.03721 · PDF

  4. 04

    The Psychological Costs of Artificial Intelligence Adoption in Software Engineering

    Adam Alami, Elda Paja, Abhishek Tiwari

    cs.SE · cs.AI

    Artificial intelligence (AI) is increasingly used to augment software engineering (SE) workflows. While code generation remains the main use case, organizations are actively seeking AI integration in other practices such as test cases generation and code reviews. Organizational AI adoption strategies seem to focus on tangible outcomes such as productivity. However, AI is a disruptive force, introduced into settings where role identity, team...

    arxiv.org/abs/2609.03456 · PDF

This edition is part of The Daily Abstract — cs.SE archive. Subscribe to receive these in your inbox each morning, automatically translated to Spanish, with reply-to-PDF: arxivdaily.ignorelist.com.

Colophon Set in Georgia, with system sans for interface chrome and a monospaced stack for code and paper identifiers. Sole accent: amber #D99C5E. Built and served on an always-free VM. The masthead is set 14% letterspaced because newspapers do that and it works.