cs.SE · 2026-06-16 · No. 25

Software Engineering, 2026-06-16.

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

01 — The papers

3 entries
  1. 01

    Selection Without Signal, Recovery Through Expression: A Measurement Study of Post-Hoc Falsification Operators for Frozen Small Code Models

    Mehmet Iscan

    cs.SE · cs.CL · cs.LG

    Frozen small code models (<=1.5B parameters, run locally without fine-tuning) suit offline and privacy-constrained use, but often emit plausible-but-wrong programs. A natural remedy is a post-hoc operator that selects, verifies, repairs, or re-processes the model's samples without retraining; in principled form it is Popperian: attack each candidate with a severe test, keep what survives. We measure whether such operators help. Under one...

    arxiv.org/abs/2606.16999 · PDF

  2. 02

    Agent trajectories as programs: fingerprinting and programming coding-agent behavior

    Hamidah Oderinwale

    cs.SE · cs.LG

    Benchmark scores tell you what an agent got right; they do not tell you how it got there. In this work, we introduce methods for comparing agents procedurally in different contexts, where the model, tasks, and approaches vary. We compare ten agents and find that they are identifiable by their behavioral habits, which we define as fingerprints: a probe over these procedural signatures attributes an unseen trajectory to the correct agent at...

    arxiv.org/abs/2606.16988 · PDF

  3. 03

    Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course

    Amir Mashmool, Kishan Ravindra Sawant, Mojtaba Shahin, Nico Hochgeschwender, Rainer Koschke

    cs.SE · cs.AI

    Teaching Software Engineering for AI-enabled systems entails addressing the integration of AI components within full-scale software architectures under realistic constraints. While machine learning courses emphasize model development, students often lack experience in architectural design, deployment, and monitoring of AI-enabled systems. Empirical evaluations of such system-oriented AI courses remain limited. This paper reflects on the...

    arxiv.org/abs/2606.16842 · PDF

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