Imagen de Portada

Understanding Everything as Code: A Taxonomy and Conceptual Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wei, Haoran, Madhavji, Nazim, Steinbacher, John
Formato:	Preprint
Publicado:	2025
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Enhancing Cloud Security through Topic Modelling
por: Saleh, Sabbir M., et al.
Publicado: (2025)

A Systematic Literature Review on Continuous Integration and Deployment (CI/CD) for Secure Cloud Computing
por: Saleh, Sabbir M., et al.
Publicado: (2025)

Advancing Software Security and Reliability in Cloud Platforms through AI-based Anomaly Detection
por: Saleh, Sabbir M., et al.
Publicado: (2024)

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques
por: Hussain, Aftab, et al.
Publicado: (2023)

Tokalator: A Context Engineering Toolkit for Artificial Intelligence Coding Assistants
por: Farajijobehdar, Vahid, et al.
Publicado: (2026)

A Taxonomy of Inefficiencies in LLM-Generated Python Code
por: Abbassi, Altaf Allah, et al.
Publicado: (2025)

A Defect Taxonomy for Infrastructure as Code: A Replication Study
por: Oliveira, Wendell, et al.
Publicado: (2025)

A Novel Taxonomy and Classification Scheme for Code Smell Interactions
por: Gupta, Ruchin, et al.
Publicado: (2025)

Enhancing and Reporting Robustness Boundary of Neural Code Models for Intelligent Code Understanding
por: Han, Tingxu, et al.
Publicado: (2026)

Understanding Code Understandability Improvements in Code Reviews
por: Oliveira, Delano, et al.
Publicado: (2024)

A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
por: Islam, Shahidul, et al.
Publicado: (2025)

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges
por: Lee, Yunseo, et al.
Publicado: (2025)

Scaling Laws Behind Code Understanding Model
por: Lin, Jiayi, et al.
Publicado: (2024)

CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems
por: Sohana, Sarah, et al.
Publicado: (2024)

Teaching Program Decomposition in CS1: A Conceptual Framework for Improved Code Quality
por: Haldeman, Georgiana, et al.
Publicado: (2024)

Conceptual Modeling and Classification of Events
por: Al-Fedaghi, Sabah
Publicado: (2024)

The Role of Humour in Software Engineering -- A Literature Review and Preliminary Taxonomy
por: Hidellaarachchi, Dulaji, et al.
Publicado: (2025)

Towards a Blockchain-Based CI/CD Framework to Enhance Security in Cloud Environments
por: Saleh, Sabbir M, et al.
Publicado: (2025)

A Reference Architecture for Governance of Cloud Native Applications
por: Pourmajidi, William, et al.
Publicado: (2023)

A Conceptual Model for the Analysis of Investigation Elements in Games
por: Marques, Pedro, et al.
Publicado: (2024)

Everything is Context: Agentic File System Abstraction for Context Engineering
por: Xu, Xiwei, et al.
Publicado: (2025)

ChatGPT in Introductory Programming: Counterbalanced Evaluation of Code Quality, Conceptual Learning, and Student Perceptions
por: Andleeb, Shiza, et al.
Publicado: (2025)

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
por: Manh, Dung Nguyen, et al.
Publicado: (2024)

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding
por: Li, Jia, et al.
Publicado: (2025)

CodeImprove: Program Adaptation for Deep Code Models
por: Rathnasuriya, Ravishka, et al.
Publicado: (2025)

A Task Taxonomy for Conformance Checking
por: Rehse, Jana-Rebecca, et al.
Publicado: (2025)

Understanding Code Change with Micro-Changes
por: Chen, Lei, et al.
Publicado: (2024)

Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy
por: Hussain, Aftab, et al.
Publicado: (2024)

Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models
por: Wang, Zhijie, et al.
Publicado: (2024)

A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
por: Jin, Dongming, et al.
Publicado: (2025)

Textual-Based vs. Thinging Machines Conceptual Modeling
por: Al-Fedaghi, Sabah
Publicado: (2025)

Toward Conceptual Modeling for Propositional Logic: Propositions as Events
por: Al-Fedaghi, Sabah
Publicado: (2024)

NRevisit: A Cognitive Behavioral Metric for Code Understandability Assessment
por: Hao, Gao, et al.
Publicado: (2025)

A Validated Taxonomy on Software Energy Smells
por: Mehditabar, Mohammadjavad, et al.
Publicado: (2026)

Understanding Emojis :) in Useful Code Review Comments
por: Ahmed, Sharif, et al.
Publicado: (2024)

Demystifying and Assessing Code Understandability in Java Decompilation
por: Qin, Ruixin, et al.
Publicado: (2024)

CodeSSM: Towards State Space Models for Code Understanding
por: Verma, Shweta, et al.
Publicado: (2025)

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding
por: Shi, Yuling, et al.
Publicado: (2026)

Carving Nature/Conceptual Models at Joints Using Thinging Machines
por: Al-Fedaghi, Sabah
Publicado: (2025)

Help Me to Understand this Commit! -- A Vision for Contextualized Code Reviews
por: Unterkalmsteiner, Michael, et al.
Publicado: (2024)