cs.SE · 2026-09-28 · No. 127

Software Engineering, 2026-09-28.

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

    Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer

    Md Shohel Arman, Igor Molybog

    cs.SE · cs.AI · cs.CL

    We investigate whether natural-language documentation helps coding agents resolve software issues, and we build the tools to construct and evaluate it. We introduce a roundtrip benchmark that scores code descriptions by whether code regenerated from them passes the original tests, and show that completeness, not length, drives a description's fidelity. Using the benchmark as an optimization signal, we discover a description-writing prompt...

    arxiv.org/abs/2609.31587 · PDF

  2. 02

    Beyond Approved Actions: Runtime Validation of Persistent Outcomes in Agent Workflows

    Haoran Zhang, Hengtong Zhang, Zhiyu Liang, Yu Yan, Decheng Zuo, Hongzhi Wang

    cs.SE · cs.AI

    Large language model agents increasingly act on software systems, no longer merely generating text but also changing databases and online services. However, an approved database update may succeed yet leave an unapproved notification because execution can produce persistent effects beyond the requested change. Current safeguards can approve an action or record its aftermath, but without checking the persistent result before continuation, an...

    arxiv.org/abs/2609.31301 · PDF

  3. 03

    Rethinking Data Quality for AI-Driven Systems: Evidence from Practitioner Interviews

    Hariharan Gopinath, Jan Bosch, Helena Holmström Olsson

    cs.SE · cs.AI

    Data quality research has usually treated data as an input that is stored, processed, and validated. In AI-driven software-intensive systems, data also shapes model behavior, evaluation, and lawful use. Empirical evidence remains limited on how practitioners define, assess, and manage quality under these conditions. We interviewed 16 practitioners from nine organizations and analyzed the transcripts using reflexive thematic analysis and...

    arxiv.org/abs/2609.31191 · PDF

  4. 04

    Developing a Roadmap to an AI-first Organization: A Case Study in Embedded Software Development

    Viktor Kjellberg, Srijita Basu, Simin Sun, Farnaz Fotrousi, Miroslaw Staron

    cs.SE · cs.AI

    The emergence of AI agents is expected to reshape software engineering by moving beyond AI as assistants towards systems capable of planning, executing, and evaluating development tasks with increasing autonomy. This transition is particularly significant for embedded software organizations, where strict requirements for quality, traceability, verification, and long-term maintainability often apply. This paper presents a case study of a large...

    arxiv.org/abs/2609.30863 · PDF

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