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 17
How Do Small Coding Agents Use Code Graphs and Embeddings?
Coding agents are given embedding search and code-graph tools on the premise that a repository's structure is something the model lacks and the tool supplies.Securing Agent-Generated Code with Its Own Development History
Pull requests written by coding agents can pass a project's test suite while omitting a guard or a validation step.Bug Severity Classification with Fine-Tuned Open LLMs: A Paired Comparison with TF-IDF and CodeBERT Baselines on Eclipse Reports
Open large language models (LLMs) small enough to run on a laptop are an obvious candidate for automatic bug severity prediction.SpeC2Rust: Specification-Driven Repository-Level C-to-Rust Translation
Legacy C codebases remain central to system software and performance-critical infrastructure, but their weak memory safety imposes security and maintenance risks.The Policies of Programming Language Ecosystems: A "Qualitative" Analysis
Programming language ecosystems (PLEs), such as CRAN for R, have greatly accelerated software reuse.$Δτ$-Bench: Pushing Agents Toward a Moving Capability
In this paper, we introduce $Δτ$-Bench, an executable agent benchmark that models the structural evolution of large tool ecosystems.Honesty Testing of LLMs and AI Agents: A Vision for Software Engineering
Human oversight of large language models (LLMs) and artificial intelligence (AI) agents increasingly depends on their reports.Beyond Benchmarks: Can Small Open-Weight Models Get Real Coding Work Done?
Making an open-weight language model generate text is not the same as making it finish coding work.Repairing Broken Access Control in Web Applications with LLMs: An Empirical Benchmark Study
Broken access control (BAC) ranks among the most severe web-application vulnerability classes, yet its automated repair remains largely unexplored.Developer Task Delegation to LLMs and the Trust Factor: A Mixed Methods Study
With the rise of Large Language Models (LLMs), software developers are presented with a powerful new approach: delegating software development tasks to LLMs.EAST: Embodied AI Safety Testing via Systematic Fault Injection in Digital Twins
Task success is not a sufficient measure of safety for embodied artificial intelligence (AI), because robots may complete objectives while violating safety requirements.ComBeautify: Leveraging Code Change Summaries for Conventional Commit Generation
Modern software development relies on version control systems such as Git to track changes and facilitate collaboration.MulFCoder: Framework-conditioned Multi-agent for MLLM-based Multi-framework Front-end Code Generation
Generating runnable front-end code from UI screenshots is a long-standing goal in automated software engineering.From GPU to TPU with Coding Agents: What Works, What Fails, and What It Costs?
A coding agent can migrate a machine learning workload, report success, and still change how the model trains.SymLift: Neural Semantic Lifting for Compile-Free Vulnerability Detection in Context-Incomplete Code Fragments
Missing project context can prevent build-dependent analyzers from constructing program relations required for vulnerability detection, while neural predictions alone do not establish auditable…CyberDual: AI Attackers versus AI Code Reviewers in Real Software Maintenance
Open-source projects now let AI agents review incoming code, but the code under review may itself come from an AI attacker.A Multi-Domain Study on the Effectiveness of LLMs at Writing Property-Based Tests
A property-based test (PBT) checks a property of a program on many generated inputs, but writing one takes a property, a generator of valid inputs, and an oracle.Multimodal Requirements Traceability Link Recovery in Industrial Settings
Requirements traceability links support activities such as change-impact analysis, coverage checking, and validation.MOFjson: An Explicit Topological Representation of Metal-Organic Frameworks for Language Models
Language models for metal-organic frameworks (MOFs) rely on formats that separate atomic geometry from structural topology, forcing models to choose between unstructured coordinate lists and…Agentic AI Orchestration Framework for Spatial Intelligence: Supply Chain Deployment
Industrial spatial decisions are assembled across systems that share neither a reference frame nor an owner, and analysts spend substantial effort reconciling those systems rather than reasoning…