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software engineering

GeneTech 知识引擎共收录 1034 篇相关科研实体，横跨 30 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• AutoMetaCoder: An AI Agent for Meta-analysis Coding
  2026 · AI Agent 生态 · Coding in Meta-analysis is a critical component in cumulative scientific research. However, it is labor-intensive and susceptible to human error. With recent advances in large language models (LLMs), this preprint introd…
• From Prompt to Production: A Case Study of Human-AI Collaborative Software Development Using Claude Code Multi-Agent Orchestration
  2026 · AI Agent 生态 · Abstract The emergence of advanced AI coding assistants with multi-agent orchestration capabilities has fundamentally transformed the software development landscape. However, the practical methodology for effective human…
• HABIT: A Self-Evolving AI-Agent Harness for GUI-Based CAE Software---Application to Aerospace
  2026 · AI Agent 生态 · Abstract GUI-based CAE software sits at the center of aerospace analysis workflows, yet interacting with it remains a labor-intensive bottleneck. Embedding foundation-model agents inside such software demands two capabil…
• gffutilsAI: an AI-agent for interactive genomic feature exploration in GFF files
  2025 · AI Agent 生态 · A bstract The General Feature Format (GFF) is widely used to represent genomic annotations, but its hierarchical, multi-attribute structure makes manual querying and analysis challenging. Existing libraries such as gffut…
• Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability
  2026 · AI Agent 生态 · The proliferation of AI agents requires robust mechanisms for secure discovery. This paper introduces the Agent Name Service (ANS), a novel architecture based on DNS addressing the lack of a public agent discovery framew…
• SuperSAGA: A Supervisor-Subordinate Agentic workflow for the Generation of Assertions
  2026 · AI Agent 生态 · We present SuperSAGA, an agentic semi-automated formal verification framework that assists in generating, debugging, and refining SystemVerilog Assertions (SVA) from natural language specifications. Rather than relying o…
• AgRefactor: Refactoring for HLS Compatibility with a Self-Evolving Agentic Workflow
  2026 · AI Agent 生态 · High-Level Synthesis (HLS) provides a fast path from concepts to silicon, but practical HLS design flows begin with a tedious step: refactoring software into HLS-compatible programs. Converting real-world software remain…
• Towards AI as a Collaborative Partner: A Taxonomy of AI Agent Behavior in Software Engineering
  2026 · AI Agent 生态 · The ongoing transition of Large Language Models (LLMs) in software engineering from one-shot code generators into agentic partners requires a shift in how we define and measure success. While models are becoming more cap…
• AI Coding Agents and Software Robots in Professional Software Engineering
  2026 · AI Agent 生态 · This dataset contains 205 responses to the survey AI Coding Agents and Software Robots in Professional Software Engineering. The responses were collected between 20 July and 4 August 2026. The questionnaire comprised 40 …
• AI Coding Agents and Software Robots in Professional Software Engineering
  2026 · AI Agent 生态 · This dataset contains 205 responses to the survey AI Coding Agents and Software Robots in Professional Software Engineering. The responses were collected between 20 July and 4 August 2026. The questionnaire comprised 40 …
• AI-Based SDLC Assistant with Multi-Agent Architecture
  2026 · AI Agent 生态 · Building software today feels like a continuous struggle to keep everything in balance; systems are getting far more complex, yet we're expected to deliver updates fast. While modern tools may help us to deal with the va…
• Collaborative Agent Reasoning Engineering (CARE): A Structured Methodology for Systematically Engineering AI Agents for Science
  2026 · AI Agent 生态 · We present Collaborative Agent Reasoning Engineering (CARE), a disciplined methodology for engineering Large Language Model (LLM) agents in scientific domains. Unlike ad-hoc trial-and-error approaches, CARE specifies beh…
• Bridging the Prototype-Production Gap: A Multi-Agent System for Notebooks Transformation
  2026 · AI Agent 生态 · The increasing adoption of Jupyter notebooks in data science and machine learning workflows has created a gap between exploratory code development and production-ready software systems. While notebooks excel at iterative…
• Automated construction of a multi-agent system for integrated energy system design
  2026 · AI Agent 生态 · This article presents an approach to automating the construction of a multi-agent system based on an ontology that describes system agents as well as software components implementing methods, algorithms, and mathematical…
• Design and Development of an AI-Powered Code Generation System with Persistent Memory and Multi-Agent Architecture
  2026 · AI Agent 生态 · Contemporary AI-powered code generation tools have fundamentally transformed software development workflows; however, they remain encumbered by critical architectural deficiencies including stateless execution, limited c…
• A Characterization Study of Bugs in LLM Agent Workflow Orchestration Frameworks
  2026 · AI Agent 生态 · Large Language Models (LLMs) have rapidly gained popularity, transforming research and industry. To support their adoption, LLM agent workflow orchestration frameworks (hereinafter referred to as LLM agent frameworks) li…
• Meteoroid: A Deterministic Topological Multi-Agent Orchestration Framework for Autonomous Backend Generation and Synthesis
  2026 · AI Agent 生态 · Meteoroid is a deterministic topological multi-agent orchestration framework for autonomous backend generation and synthesis. The system models backend development as a dependency-aware directed acyclic graph (DAG), enab…
• Meteoroid: A Deterministic Topological Multi-Agent Orchestration Framework for Autonomous Backend Generation and Synthesis
  2026 · AI Agent 生态 · Meteoroid is a deterministic topological multi-agent orchestration framework for autonomous backend generation and synthesis. The system models backend development as a dependency-aware directed acyclic graph (DAG), enab…
• Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration
  2025 · AI Agent 生态 · We present an approach to automating software testing using Agentic Retrieval-Augmented Generation (RAG) systems for creating Quality Engineering (QE) artifacts. This approach combines autonomous AI agents with hybrid ve…
• <scp>Meta-Agent-Workflow:</scp> Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement
  2025 · AI Agent 生态 · Large language models (LLMs) have recently shown significant advancements and are increasingly used as key components in automated agents for various web-based tasks. Typically, this agentization is achieved by carefully…
• LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead
  2025 · AI Agent 生态 · Integrating Large Language Models (LLMs) into autonomous agents marks a significant shift in the research landscape by offering cognitive abilities that are competitive with human planning and reasoning. This article exp…
• The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges
  2025 · AI Agent 生态 · Agentic AI systems are a recently emerged and important approach that goes beyond traditional AI, generative AI, and autonomous systems by focusing on autonomy, adaptability, and goal-driven reasoning. This study provide…
• A Multi-Agent LLM Environment for Software Design and Refactoring: A Conceptual Framework
  2025 · AI Agent 生态 · Modern software systems demand continuous evolution to maintain performance, scalability, and security. Traditional single-agent AI-driven code refactoring approaches are often limited in addressing the multi-faceted con…
• Symbio Coding: An Educational Testbed for AI Agent Simulation as Software Development Team Member
  2025 · AI Agent 生态 · This paper presents an educational simulation model for integrating AI agents into software development teams. The model is proposed for use by master's students in IT project management courses to study the effectivenes…
• Technological and Socio-Economic Challenges in the Development of Sensors for Precision Agriculture
  2025 · 智慧农业 · Field-deployable sensors play an important role in precision agriculture and are used to enable key stakeholders (farmers, agronomists, policy makers, etc.) to make informed decisions about resource management and improv…
• Empowering smart app development with SolidGPT: an edgecloud hybrid AI agent framework
  2025 · AI 安全与对齐 · The integration of Large Language Models (LLMs) into mobile and software development workflows faces a persistent tension among three demands: semantic awareness, developer productivity, and data privacy. Traditional clo…
• BePilot: An AI Programming Assistant for Compiler Backend Development
  2025 · AI 安全与对齐 · Compiler backends are tasked with generating executable machine code for various processors. As the diversity of processors continues to grow, it is imperative for programmers to tailor specific compiler backends to acco…
• Innovative Guardrails for Generative AI: Designing an Intelligent Filter for Safe and Responsible LLM Deployment
  2025 · AI 安全与对齐 · This paper proposes a technological framework designed to mitigate the inherent risks associated with the deployment of artificial intelligence (AI) in decision-making and task execution within the management processes. …
• AFlow: Automating Agentic Workflow Generation
  2024 · AI Agent 生态 · Large language models (LLMs) have demonstrated remarkable potential in solving complex tasks across diverse domains, typically by employing agentic workflows that follow detailed instructions and operational sequences. H…
• Multi-Agent Systems: A Survey About Its Components, Framework and Workflow
  2024 · AI Agent 生态 · With the rapid technological advancements and the ever-evolving complex systems, the identification and integration of the components and resources for the functioning of multi-agent systems (MAS) are crucial tasks. Howe…
• Agent4EDU: Advancing AI for Education with Agentic Workflows
  2024 · AI Agent 生态 · The vigorous development of artificial intelligence (AI) represented by large language models (LLMs) has rapidly promoted the updating and development of educational technology. Agentic workflows (AWs) built based on LLM…
• Self-Collaboration Code Generation via ChatGPT
  2024 · AI Agent 生态 · Although large language models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world software development, humans usually tackle complex tasks through collabor…
• Enhancing Traceability in Flexible Production System: A Blockchain-Powered Approach in IEC 61499 Multi-Agent Control System
  2024 · AI Agent 生态 · This paper presents a novel approach for tracking products and processes within industrial multi-agent control systems by leveraging blockchain technology. The suggested solution facilitates the recording and validation …
• ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems
  2024 · AI Agent 生态 · Recently, there has been increasing interest in using Large Language Models (LLMs) to construct complex multi-agent systems to perform tasks such as compiling literature reviews, drafting consumer reports, and planning v…
• Digital Twin Prototypes for Supporting Automated Integration Testing of Smart Farming Applications
  2024 · 智慧农业 · Industry 4.0 marks a major technological shift, revolutionizing manufacturing with increased efficiency, productivity, and sustainability. This transformation is paralleled in agriculture through smart farming, employing…
• A Modeling Methodology for Crop Representation in Digital Twins for Smart Farming
  2024 · 智慧农业 · Digital twins of complex systems are operated by stakeholders from different domains, who typically do not work in the same language. This problem is exacerbated in digital twins where domain-specific representations are…
• Harnessing the Power of Large Language Models for Automated Code Generation and Verification
  2024 · 智慧农业 · The cost landscape in advanced technology systems is shifting dramatically. Traditionally, hardware costs took the spotlight, but now, programming and debugging complexities are gaining prominence. This paper explores th…
• Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance
  2024 · AI 安全与对齐 · Data has evolved into one of the principal resources for contemporary businesses. Moreover, corporations have undergone digitalization; consequently, their supply chains generate substantial amounts of data. The theoreti…
• Geodetic, survey and alignment challenges of the FCC-ee
  2024 · AI 安全与对齐 · Abstract At CERN, each generation of particle accelerators led to the implementation of new geodetic, survey and alignment methodologies following the increasing accuracy requirements and the evolution of survey instrume…
• AI-Driven Testing: Unleashing Autonomous Systems for Superior Software Quality Using Generative AI
  2024 · AI 安全与对齐 · In software development, achieving comprehensive code coverage is imperative for ensuring the reliability and robustness of programs. This paper presents a novel approach to attaining between 80% and 100% code coverage i…
• MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
  2023 · AI Agent 生态 · Remarkable progress has been made on automated problem solving through societies of agents based on large language models (LLMs). Existing LLM-based multi-agent systems can already solve simple dialogue tasks. Solutions …
• Model-based loading of agricultural trailers
  2023 · 智慧农业 · There is a trend in agricultural engineering towards high-performance harvesting machines with growing operating width and throughput. As much as performance and throughput are rising, the transportation units, usually t…
• Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains
  2023 · AI 安全与对齐 · The emergence of foundation models, such as large language models (LLMs) GPT-4 and text-to-image models DALL-E, has opened up numerous possibilities across various domains. People can now use natural language (i.e., prom…
• Code Broker A Multi Agent System for Automated Code Quality Assessment
  2026 · AI Agent 生态 · Abstract We present Code Broker, a multi-agent system built with Google’s Agent Development Kit (ADK) that analyses Python code from files, local directories, or GitHub repositories and generates actionable quality asses…
• Enhancing reliability and automation of LLM-based structural analysis using a hybrid multi-agent pipeline.
  2026 · AI Agent 生态 · Large language models (LLMs) can assist engineering workflows, but their direct application in structural analysis is fundamentally limited by numerical inconsistencies, prompt sensitivity, and context degradation. To ad…
• Autonomous AI and Agentic Testing Agents: A Multi-Agent Architecture for Self-Directed Software Quality Assurance
  2026 · AI Agent 生态 · Abstract Software testing has historically depended on scripted automation and human-crafted test oracles, both of which struggle to keep pace with continuously evolving user interfaces, microservice topologies, and rele…
• Geospatial AI (GeoAI) agent stack : router-based orchestration and design rationale
  2026 · AI Agent 生态 · This report summarizes the current state of a router-based, multiagent Geospatial AI (GeoAI) system designed to reliably execute geospatial workflows while retaining the flexibility of large language model (LLM) reasonin…
• MurphyGuard: A Failure-First Framework for AI Agent Guardrails
  2026 · AI Agent 生态 · As autonomous AI agents transition from research prototypes to production-grade systems — executing code, calling APIs, managing infrastructure, and interacting with users at scale — the question of safety is no longer t…
• Agentic AI Orchestration: An Organizational Design Framework A Practitioner Framework for Reliable Multi-Agent Systems
  2026 · AI Agent 生态 · Agentic AI is moving fast. Organizations are rushing to adopt autonomous workflows before they have a coherent model for how those workflows should actually be governed. The result is a pattern playing out in real time. …
• Multi-Agent AI Systems for Autonomous Software Development
  2026 · AI Agent 生态 · Autonomous artificial intelligence (AI) agents, Large Language Models (LLAM), and the use of multi-agents are quickly changing the landscape of software engineering by making more software development methods more automa…
• A Multi-agent Security Framework for AI-Assisted Software Development
  2026 · AI Agent 生态 · AI-enabled tools for code generation have drastically changed software development, but security holes in the code created by AI are still significant. Several new studies show security vulnerabilities could increase by …
• Dissecting Repository-Scale Code-Agent Harnesses: Retrieval, Context, and Action Interfaces Under Model-in-the-Loop Evaluation
  2026 · AI Agent 生态 · A five-study controlled evaluation of repository-navigation and editing harnesses for local LLM coding agents. The release reports 5,453 audited experimental cells across three public repositories and three local models.…
• Dissecting Repository-Scale Code-Agent Harnesses: Retrieval, Context, and Action Interfaces Under Model-in-the-Loop Evaluation
  2026 · AI Agent 生态 · A five-study controlled evaluation of repository-navigation and editing harnesses for local LLM coding agents. The release reports 5,453 audited experimental cells across three public repositories and three local models.…
• Does Agent Sandboxing Actually Contain Autonomous Agents? A Preregistered Evaluation of NemoClaw/OpenShell Security Boundaries
  2026 · AI Agent 生态 · This preregistered study evaluates whether NVIDIA NemoClaw/OpenShell sandboxing actually contains prohibited actions under controlled, matched experimental conditions. The study separates platform-level containment (NET-…
• Enabling Dynamic Pricing: An AI Agent for Startups with Transparent ML Insight
  2026 · AI Agent 生态 · Dynamic pricing lets the businesses to change the product prices based their market conditions and the demand. Many large enterprises benefited by advanced pricing engines whereas the startups lack in affordance and tran…
• When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests
  2026 · AI Agent 生态 · Autonomous coding agents increasingly contribute to software development by submitting pull requests on GitHub; yet, little is known about how these contributions integrate into human-driven review workflows. We present …
• SSOT-Centric Agentic Software Engineering Framework
  2026 · AI Agent 生态 · Overview The SSOT-Centric Agentic Software Engineering Framework is an AI-native software development lifecycle model that enables software engineering artefacts, AI planning systems, coding agents, testing agents, and c…
• SSOT-Centric Agentic Software Engineering Framework
  2026 · AI Agent 生态 · Overview The SSOT-Centric Agentic Software Engineering Framework is an AI-native software development lifecycle model that enables software engineering artefacts, AI planning systems, coding agents, testing agents, and c…
• Intelligent Multi-Agent AI System with Predictive Analysis
  2026 · AI Agent 生态 · Efficient code review procedures are essential in modern software development in order to guarantee software quality, security, and maintainability. Traditional approaches to code review are usually time-consuming, rely …
• Intelligent Multi-Agent AI System with Predictive Analysis
  2026 · AI Agent 生态 · Efficient code review procedures are essential in modern software development in order to guarantee software quality, security, and maintainability. Traditional approaches to code review are usually time-consuming, rely …

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