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 61
Confidence-Guided Cross-Modal Knowledge Transfer for Multimodal Anomaly Detection in Microservice Systems
Accurate anomaly detection is essential for reliable and secure operations of microservice systems.When Should Dependency Updates Invoke Repair Agents? A Lightweight Routing Study
Dependency-update pull requests are frequent and mostly routine, but a small subset requires non-trivial compatibility repair.Towards Systematic Qualification of Vision-Language Models for Automotive Perception Systems
The field of Artificial Intelligence has been adopted for many application domains.Compiling Sufficient Governance Context from Declared Losses and Reachable States: Exact Observation-Contract Synthesis with Cardinality and Cost Objectives
We call the object this paper derives and certifies a minimal sufficient governance context: given a finite reachable-state model, a deterministic declared verdict, and candidate observable…FIRE: Failure-Informed Runtime Engineering for Reliable Language-Model Agents
Language-model agents often reach a working solution and then fail to consistently deliver it.Design and Evaluation of a Controlled Post-Alert Incident Orchestration and Response Subsystem Using a Rule Engine and a Local Large Language Model
This paper presents a controlled post-alert incident orchestration and response subsystem for educational information systems.On the Lexical Superstition of Large Language Models for Code Comprehension: Re-evaluation on Code of Low Lexical Quality
Recent advances in large language models (LLMs) have made them widely used for code-related tasks.Recursive self-improvement of AI research agents
AI agents are beginning to automate research and development across the AI stack, from improving training efficiency to optimizing inference.FeatLens: Feature-Guided Dynamic Code Graph Construction and Retrieval for Repository-Level Code Generation
Recent code generation research has moved from isolated function completion toward repository-level generation in existing codebases.From Approval to Execution: Reconstruction-Aware Repair Analysis for LLM-Agent Software
Approval mechanisms have become a primary safeguard for consequential actions in LLM-agent software.Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation
A coding agent must emit a valid tool call--a parseable invocation of a tool in the provided schema--before the harness can execute its chosen action.TraceVIC: Causal Reasoning over Code Evolution for Identifying Vulnerability-Inducing Commits
Software vulnerabilities are often discovered long after they are introduced, making it difficult to identify the vulnerability-inducing commit (VIC) responsible for introducing the underlying…Metrics Failure in LLM-Based Code Vulnerability Repair: An Empirical Study and a Change-Aware Screen
Large language models (LLMs) are increasingly applied to the automated repair of C/C++ security vulnerabilities, and compile rate is a commonly reported proxy for progress: whether the generated…Grow the Harness, Not the Context: From Strategy-Free Scaffolds to Reusable Specialist Agents
Large language model (LLM) agents often handle streams of related tasks, yet standard harnesses repeatedly ask the model to reconstruct the same control decisions inside each task's context.SWE-Serve: Benchmarking Agentic Engineering For Production Inference Serving
We introduce SWE-Serve, a benchmark for evaluating agents on production inference engineering tasks.CliffCompaction: Cost-Efficient Compaction for Long-Horizon Coding Agents
Agents often work on complex problems that require millions of tokens of context, which necessitates compacting across sessions due to limited context windows.Who Finishes the Job? A Study of Follow-Up Fixes and Commit Authorship on AI Coding Agent Pull Requests
AI coding agents now author a large share of pull requests (PRs) merged into popular open-source projects.Ajar: Measuring Open Privilege in Agent Defenses
A language model agent acts through the tools it is given.Escaping Python Dependency Hell: A Hybrid Replay-and-Repair Pipeline for Python Dependency Resolution
Dependency conflicts in Python ecosystems arise from incompatible version constraints, missing packages, and undocumented compatibility relationships, causing many real-world code snippets to fail…Kubernetes Misconfigurations in the Wild: Taxonomy, Evolution, and Automated Repair with Large Language Models
Kubernetes is widely used to orchestrate cloud-native applications, yet its declarative configuration model often introduces security misconfigurations that threaten system reliability.