Applied & Human-Centered · Computer Science & AI
Software Engineering
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1,466 papers, from 31 August 2026 to 5 November 2026: 1,451 arXiv preprints and 15 OpenAlex records.
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Newest papers, page 64
GameASG-Bench: Benchmarking Autonomous Software Generation for Game Development
Autonomous software generation (ASG) aims to turn human requirements into executable applications, but delivering these applications does not necessarily establish that their interacting components…What Stops a Small Language Model From Driving a Database Agent
Small open-weight language models are assumed to fail at agentic database work because they lack the reasoning capacity for it.Scentree: a framework for generating scenario trees for multistage stochastic programming
We present scentree, an open-source Python package for constructing a scenario fan and a scenario tree for multistage stochastic programming from historical data.Cross-Platform vs Native Mobile Development: An Empirical Study of Software Quality Trade-offs
Cross-platform mobile frameworks promise code reuse, shorter delivery cycles, and lower implementation effort, but their trade-offs relative to native development remain difficult to assess…GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions
Coding agents can modify and test code across large software projects.Labelling Bug-Fixing Commits with Local Open-Weight Language Models
Defect prediction depends on knowing which commits fix bugs, yet the labels that encode this are produced by routes that each introduce noise.From Smarter to Hungrier: the Role of Energy Efficiency in Software-defined Vehicles
Automated features and advanced driving support systems have enabled a range of life-saving and comfort applications in modern personal vehicles.From Code Archival to Knowledge Graph: Bridging Software Heritage, COAR Notify and Wikidata
Software is a first-class scientific object, yet validated links between source code and the scholarly record remain largely absent from the Linked Open Data (LOD) cloud, isolating archived…Supporting Industrial Test-Failure Analysis with LLM-Based Systems: An Experience Report
This study examines tool-augmented Large Language Model (LLM) systems for supporting Root Cause Analysis (RCA) of nightly test failures at Westermo Network Technologies AB.RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents
Computer-use agents (CUAs) have advanced along two separate lines: graphical interaction and software development through code and the command line.How Researchers Use and Verify AI Coding Assistants: Tasks and Validation Practices in Scientific Programming
Generative AI has entered research programming, yet there is little evidence about which tasks researchers hand to it or how they decide whether its code is correct.Behavior Trees for Robotic Systems: An Empirical Study on Practices and Experiences
Over the last decade, behavior trees (BT) have become one of the dominant behavior models for coordinating missions of robotic systems.Goal-driven Variant Categorization
Process discovery rarely yields a single coherent process structure.A Governance-Aware Large Language Model Orchestrated Agentic Digital Twin for Transmission System Operator Control Room Decision Support
Transmission system operators face rising complexity from renewable integration, reduced inertia, and tighter security margins.Identity or Prompt Noise? A Calibrated Invariance Audit of LLM Code Generation
Identity cues are irrelevant to a fixed programming specification, but raw counterfactual differences can arise from unequal samples and prompt wording.Does Order Matter? An Empirical Investigation into the Impact of File Ordering on Code Review Effectiveness
Modern code review is central to software quality, but its effectiveness depends on reviewer expertise, change characteristics, and how tools present changes.Why Do Pull Requests Go Silent? Uncovering the Barriers to Contribution Completion in Open-Source Code Review
Pull requests (PRs) underpin pull-based software development by enabling distributed code review and collaborative contribution in open-source projects.Brain API: An Intent-Aware Control Plane for Policy-Governed Agentic Systems
Contemporary cloud and distributed systems expose control through resource-centric abstractions: services, deployments, network flows, execution graphs.DeltaSelect: Affordable A/B Testing for Coding Agents
Coding-agent benchmarks are built for broad and comprehensive comparisons, not frequent development decisions.The Output-Space Hypothesis: Enumerative Equivalence Checking for Tensor Programs
Tensor programs, as used in deep learning models, are a prime target for optimization, as small performance improvements can have a large impact across training or inference workloads.