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software engineering

GeneTech 知识引擎共收录 603 篇相关科研实体，横跨 21 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）

• 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…
• Dataset for Requirements Analysis in Software Engineering Using Large Language Models
  2026 · AI 驱动科学发现 · This dataset supports the transparency and reproducibility of the systematic literature review and procedures reported in the article "Requirements Analysis in Software Engineering Using Large Language Models."The folder…
• Dataset for Requirements Analysis in Software Engineering Using Large Language Models
  2026 · AI 驱动科学发现 · This dataset supports the transparency and reproducibility of the systematic literature review and procedures reported in the article "Requirements Analysis in Software Engineering Using Large Language Models."The folder…
• 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…
• 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. …
• IvoryOS: an interoperable web interface for orchestrating Python-based self-driving laboratories
  2025 · 仿生智能 · Self-driving laboratories (SDLs), powered by robotics, automation and artificial intelligence, accelerate scientific discoveries through autonomous experimentation. However, their adoption and transferability are limited…
• BRAPH 2: a flexible, open-source, reproducible, community-oriented, easy-to-use framework for network analyses in neurosciences
  2025 · 脑科学 · As network analyses in neuroscience continue to grow in both complexity and size, flexible methods are urgently needed to provide unbiased, reproducible insights into brain function. BRAPH 2 is a versatile, open-source f…
• 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…
• 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…
• 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 …
• 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…
• CHARMM-GUI Membrane Builder : Past, Current, and Future Developments and Applications
  2023 · 仿生智能 · Molecular dynamics simulations of membranes and membrane proteins serve as computational microscopes, revealing coordinated events at the membrane interface. As G protein-coupled receptors, ion channels, transporters, an…
• 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-…
• ACT-Ω v25.0: The Semantic Braid and E8 Manifold Protocols — Technical Release Audit and Isomorphic Mapping Registry.
  2026 · AI Agent 生态 · ACT-Ω v25.0: The Semantic Braid and E8 Manifold Protocols — Technical Release Audit and Isomorphic Mapping Registry Metadata &amp; Registry Information Document ID: ACT-OMEGA-TR-2024-V25.0 Version: 25.0 (Audit Locked) DO…
• Context Observability: A Data-Observability Framework for Governing Shared Memory in Multi-Agent AI Coding Systems
  2026 · AI Agent 生态 · As AI coding agents move from single-user, session-scoped memory toward team- and organization-wide shared context stores, the software industry is repeating a pattern long familiar to data engineering: an unmanaged data…
• Context Observability: A Data-Observability Framework for Governing Shared Memory in Multi-Agent AI Coding Systems
  2026 · AI Agent 生态 · As AI coding agents move from single-user, session-scoped memory toward team- and organization-wide shared context stores, the software industry is repeating a pattern long familiar to data engineering: an unmanaged data…
• AI Agentic workflows and Enterprise APIs: Adapting API architectures for the age of AI agents
  2025 · AI Agent 生态 · The rapid advancement of Generative AI has catalyzed the emergence of autonomous AI agents, presenting unprecedented challenges for enterprise computing infrastructures. Current enterprise API architectures are predomina…
• creator35lwb-web/VerifiMind-PEAS: Genesis Prompt Engineering Methodology v2.0: Multi-Agent AI Validation Framework
  2025 · AI 安全与对齐 · Genesis Master Prompt v2.0 - Release Notes Release Date: December 18, 2025 Version: 2.0.0 Tag: genesis-v2.0 Type: Major Methodology Release 🎯 Overview The Genesis Master Prompt v2.0 represents a major evolution of the G…
• Prompt Engineering for Conversational AI Systems: A Systematic Review of Techniques and Applications
  2025 · AI 安全与对齐 · This article comprehensively analyzes prompt engineering techniques in conversational AI systems, focusing on their implementation and impact on large language model (LLM) performance. The article examines the fundamenta…
• Challenges and Opportunities for Generative AI in Software Engineering: A Managerial View
  2025 · AI 安全与对齐 · Generative artificial intelligence (GenAI) has shown a strong potential to automate tasks, increase productivity, and enhance software quality. Managers have an important role in adopting GenAI as they lead strategic pla…
• Improvements in Software Verification and Witness Validation: SV-COMP 2025
  2025 · 仿生智能 · Abstract The 14th edition of the Competition on Software Verification (SV-COMP 2025) evaluated 62 verification tools and 18 witness validation tools, making it the largest comparison of its kind so far. Out of these, 35 …
• Software for "Analysis Pipeline for Demand-driven Complexity Improvements of Models in Neurorobotics and Neuromechanics"
  2026 · 仿生智能 · Code Associated with the Paper: "Analysis Pipeline for Demand-driven Complexity Improvements of Models in Neurorobotics and Neuromechanics" Reinforcement-learning enabled pipeline for the analysis of neurorobotic and neu…
• Software for "Analysis Pipeline for Demand-driven Complexity Improvements of Models in Neurorobotics and Neuromechanics"
  2026 · 仿生智能 · Code Associated with the Paper: "Analysis Pipeline for Demand-driven Complexity Improvements of Models in Neurorobotics and Neuromechanics" Reinforcement-learning enabled pipeline for the analysis of neurorobotic and neu…
• Code for Sensory-Guided Joint Learning in Motor Imagery Brain-Computer Interfaces
  2026 · 仿生智能 · This is the public release of the custom code associated with the Nature Communications 2026 study: Hanwen Wang, Yisha Zhang, Maxim Karrenbach, Yidan Ding, Bin He. A sensory-guided human–machine joint learning framework …
• PENTEST-AI, an LLM-Powered Multi-Agents Framework for Penetration Testing Automation Leveraging Mitre Attack
  2024 · AI Agent 生态 · In the digital transformation era, the surge of better development technologies and citizen developers disrupted the space of innovation by increasing the number and complexity of applications used in production. This co…
• Creating Large Language Model Applications Utilizing LangChain: A Primer on Developing LLM Apps Fast
  2023 · AI Agent 生态 · This study focuses on the utilization of Large Language Models (LLMs) for the rapid development of applications, with a spotlight on LangChain, an open-source software library. LLMs have been rapidly adopted due to their…
• Software Engineering as the Linchpin of Responsible AI
  2023 · AI 安全与对齐 · From humanity's existential risks to safety risks in critical systems to ethical risks, responsible AI, as the saviour, has become a major research challenge with significant real-world consequences. However, achieving r…
• The Potential of AI-Driven Assistants in Scaled Agile Software Development
  2023 · AI 安全与对齐 · Scaled agile development approaches are now used widely in modern software engineering, allowing businesses to improve teamwork, productivity, and product quality. The incorporation of artificial intelligence (AI) into s…
• Writability to Predictability: Structural Principles for Building-Scale AI Software Engineering
  2026 · AI Agent 生态 · Writability — whether an agent can produce a working artifact to a specification — is largely solved at house scale. Predictability — whether an agent system, holding specification and process fixed, converges on the sam…
• Writability to Predictability: Structural Principles for Building-Scale AI Software Engineering
  2026 · AI Agent 生态 · Writability — whether an agent can produce a working artifact to a specification — is largely solved at house scale. Predictability — whether an agent system, holding specification and process fixed, converges on the sam…
• Agentic Software Engineering: A Practical Guide for the AI-Native Engineer
  2026 · AI Agent 生态 · Access: https://book.agentic-swe.dev/ This book is about a fundamental shift in what software engineers actually do. For most of the history of the profession, the primary bottleneck in software development was writing c…
• Agentic Software Engineering: A Practical Guide for the AI-Native Engineer
  2026 · AI Agent 生态 · Access: https://book.agentic-swe.dev/ This book is about a fundamental shift in what software engineers actually do. For most of the history of the profession, the primary bottleneck in software development was writing c…
• ROS-health: An open-source framework for neurorobotics
  2018 · 仿生智能 · This paper aims at providing a preliminary description of ROS-Health, a novel framework for neurorobotics based on the middleware Robot Operating System (ROS). The increased interest in the neurorobotics field and the pr…
• WADE: a software platform to develop mission critical applications exploiting agents and workflows
  2008 · AI Agent 生态 · In this paper, we describe two mission critical applications currently deployed by Telecom Italia in the Operations Support System domains. The first one called Network Neutral Element Manager implements a mediation laye…
• A novel approach for enacting the distributed business workflows using BPEL4WS on the multi-agent platform
  2005 · AI Agent 生态 · This paper describes the development of a distributed multi-agent workflow enactment mechanism using BPEL4WS specification. It demonstrates that a multi-agent protocol (lightweight coordination calculus (LCC)) can be use…
• Software Agents in Data and Workflow Management
  2005 · AI Agent 生态 · CMS currently uses a number of tools to transfer data which, taken together, form the basis of a heterogeneous datagrid. The range of tools used, and the directed, rather than optimized nature of CMS recent large scale d…
• Business-Aware AI Agent Framework: A Semantic Blueprint Layer for AI-Native Software Engineering
  2026 · AI Agent 生态 · This paper proposes a Business Blueprint Layer for AI-native software engineering systems. The framework introduces business-semantic context into AI orchestration pipelines before implementation planning begins. The con…
• Business-Aware AI Agent Framework: A Semantic Blueprint Layer for AI-Native Software Engineering
  2026 · AI Agent 生态 · This paper proposes a Business Blueprint Layer for AI-native software engineering systems. The framework introduces business-semantic context into AI orchestration pipelines before implementation planning begins. The con…
• SPEAR: An Engineering Case Study of Multi-Agent Coordination for Smart Contract Auditing
  2026 · AI Agent 生态 · We present SPEAR, a multi-agent coordination framework for smart contract auditing that applies established MAS patterns in a realistic security analysis workflow. SPEAR models auditing as a coordinated mission carried o…
• AEVAL: From Anecdotal to Deterministic Testing for Agentic Skill Workflows
  2026 · AI Agent 生态 · Modern agentic systems increasingly rely on skills: installable packages of natural language and code that teach an LLM agent to perform a domain task. As skill repositories grow, developers need automated quality signal…
• Learning to Compose for Cross-domain Agentic Workflow Generation
  2026 · AI Agent 生态 · Automatically generating agentic workflows -- executable operator graphs or codes that orchestrate reasoning, verification, and repair -- has become a practical way to solve complex tasks beyond what single-pass LLM gene…
• LLMoxie: Exploring Agentic AI for Scientific Software Development
  2026 · AI Agent 生态 · In this paper, we describe LLMoxie, an institutional AI platform whose three-tiered architecture supports multi-cloud and on-premise inference, a LiteLLM/MLflow control plane for authentication, budgeting, PII masking, a…
• DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery
  2026 · AI 驱动科学发现 · Large language models (LLMs) are in the ascendancy for research in drug discovery, offering unprecedented opportunities to reshape drug research by accelerating hypothesis generation, optimizing candidate prioritization,…
• DeepSeq: High-Throughput Single-Cell RNA Sequencing Data Labeling via Web Search-Augmented Agentic Generative AI Foundation Models
  2025 · AI 驱动科学发现 · Generative AI foundation models offer transformative potential for processing structured biological data, particularly in single-cell RNA sequencing, where datasets are rapidly scaling toward billions of cells. We propos…
• Active: a unified platform for building intelligent applications
  2008 · 医疗人工智能 · Computers have become affordable, small, omnipresent and are often connected to the Internet. However, despite the availability of such rich environments, user interfaces have not been adapted to fully leverage their pot…
• Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems
  2005 · AI Agent 生态 · This paper describes the Pegasus framework that can be used to map complex scientific workflows onto distributed resources. Pegasus enables users to represent the workflows at an abstract level without needing to worry a…
• Software Engineering for Collective Cyber-Physical Ecosystems
  2024 · 仿生智能 · Today's distributed and pervasive computing addresses large-scale cyber-physical ecosystems, characterised by dense and large networks of devices capable of computation, communication and interaction with the environment…
• The Future of AI-Driven Software Engineering
  2024 · 仿生智能 · A paradigm shift is underway in Software Engineering, with AI systems such as LLMs playing an increasingly important role in boosting software development productivity. This trend is anticipated to persist. In the next y…

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