Applied & Human-Centered · Computer Science & AI
Software Engineering
The newest papers in Software Engineering that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
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 70
GraphAHA: Graph-Based Adaptive Search with Heterogeneous Actions for Test-Time Code Generation
Test-time scaling improves code generation by spending additional inference budget (e.g., calls or tokens) on direct sampling, feedback-conditioned repair, and reasoning-guided implementation.Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering
Enterprise Digital Twins (EDTs) promise data-driven decision support at organizational scale, but realizing them requires navigating siloed departments, tacit knowledge, and high-stakes decisions…The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment
Enterprise AI agents often succeed in a demonstration and then stall once they must operate day after day.Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent Failures
The increasing deployment of AI agents in long-horizon tasks yields massive execution logs.AutoTailor: Automatic, User-Aligned Capability Selection and Adaptation for Web Agents
Web agents can utilize reusable tools to reduce the cost and latency of low-level browser interaction, but automatically discovered tool collections can be large, redundant, and poorly aligned with…Comparative Framework Analysis for Enterprise Generative AI Applications: Chatbot, Automation, and Oracle-to-PostgreSQL Migration
This study compares framework suitability across three classes of enterprise generative AI applications: a documentation-based development assistant, an email and inquiry automation system, and an…Same Patient, Different Order: Action-Level Reliability of Clinical LLM Agents Under Repeated Runs
A clinical agent benchmark can report the same verdict on identical inputs while the agent files a materially different order on each run.What a Random Draw from the MCP Registry Contains, and What Tool-Use Benchmarks Contain Instead
Studies of the Model Context Protocol (MCP) server ecosystem draw their samples in ways that quietly select for servers that work: reference sets, popularity lists, hand-curated frames, or pipelines…Decoupling Readiness from Release for Tail-Aware Scheduling of Agentic LLM Workflows
Agentic LLM workflows consist of sequences of model turns interleaved with tool interactions, so their end-to-end completion time depends not only on inference speed but also on when ready turns are…DeFiFusion: Combining Transaction Events with Smart Contracts to Detect Price Manipulation Attacks
Decentralized Finance (DeFi) has emerged as a rapidly growing blockchain-based financial service, where market transaction dynamics and underlying smart contract logic are intricately intertwined.BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure
LM-agent benchmarks increasingly function as interactive evaluation infrastructure.Grounding Agent Memory: Environment-Probing Curation for Enterprise Agents
Persistent memory is entering production-oriented agent platforms to help long-horizon agents accumulate experience across sessions.SemVerBench: Benchmarking LLM Comprehension of Version-Constraint Resolution Semantics
Large language model (LLM) coding agents constantly decide whether a version satisfies a constraint such as ^1.2.3 or >=2.0,<3, yet their grasp of version-constraint semantics has never been…Estimating Inconsistency Response Surfaces under Uncertainty in Cyber-Physical System Development
Cyber-Physical Systems (CPS) are commonly represented through multiple interconnected models.Agent-Integrated Software: Interaction Contracts and Continuous Assurance
Embedding an intelligent agent in an existing application creates a persistent coordination problem: users can revise goals and manipulate shared objects while delegated execution continues.DeFiFlowBench: Benchmarking and Improving Safe Executability in Natural-Language DeFi Workflow Synthesis
A structurally valid DeFi workflow can still authorize a costly trade.PRISMA-LLM: An Empirical Reporting Framework for AI-Assisted Systematic Reviews
Large language models (LLMs) and AI-enabled software increasingly participate in systematic-review decisions, yet the information needed to audit these workflows is reported inconsistently.Ecdysis: Efficient and Effective Training of Runtime Harnesses for LLM Agents
Self-evolving runtime harnesses can substantially improve the capabilities of large language model (LLM) agents and provide a promising paradigm for optimizing agent execution.Is Bash All You Need? An Empirical Study of Tool Interfaces for Enterprise Digital Worker Agents
In this study, we examine whether a general shell can outperform specialized tools on enterprise tasks.When Agent Metrics Measure Different Things: An Evidence-Grounded Audit of the Praxa AI Pipeline
Agent evaluations can be numerically correct while measuring a different construct from the one implied by their labels.