Imagen de Portada

ChangePrism: Visualizing the Essence of Code Changes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Lei, Lanza, Michele, Hayashi, Shinpei
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

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

Revisiting Method-Level Change Prediction: A Comparative Evaluation at Different Granularities
por: Sugimori, Hiroto, et al.
Publicado: (2025)

MORCoRA: Multi-Objective Refactoring Recommendation Considering Review Availability
por: Chen, Lei, et al.
Publicado: (2024)

ICCheck: A Portable, Language-Agnostic Tool for Synchronizing Code Clones
por: Abe, Motoki, et al.
Publicado: (2025)

Toward Interactive Optimization of Source Code Differences: An Empirical Study of Its Performance
por: Yagi, Tsukasa, et al.
Publicado: (2024)

How Much Can a Behavior-Preserving Changeset Be Decomposed into Refactoring Operations?
por: Someya, Kota, et al.
Publicado: (2025)

RENAS: Prioritizing Co-Renaming Opportunities of Identifiers
por: Doi, Naoki, et al.
Publicado: (2024)

The Divine Software Engineering Comedy -- Inferno: The Okinawa Files
por: Lanza, Michele
Publicado: (2025)

Detecting Essence Code Clones via Information Theoretic Analysis
por: Zhao, Lida, et al.
Publicado: (2025)

ChangeGuard: Validating Code Changes via Pairwise Learning-Guided Execution
por: Gröninger, Lars, et al.
Publicado: (2024)

DocPrism: Local Categorization and External Filtering to Identify Relevant Code-Documentation Inconsistencies
por: Xu, Xiaomeng, et al.
Publicado: (2025)

Information-Theoretic Detection of Unusual Source Code Changes
por: Torres, Adriano, et al.
Publicado: (2025)

Changes in Coding Behavior and Performance Since the Introduction of LLMs
por: Zhang, Yufan, et al.
Publicado: (2026)

Exploring the Capabilities of LLMs for Code Change Related Tasks
por: Fan, Lishui, et al.
Publicado: (2024)

Using LLMs and Essence to Support Software Practice Adoption
por: Nicoletti, Sonia, et al.
Publicado: (2025)

Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example
por: Dilhara, Malinda, et al.
Publicado: (2024)

LogPrism: Unifying Structure and Variable Encoding for Effective Log Compression
por: Liu, Yang, et al.
Publicado: (2026)

Analyzing Dependency Distribution Changes Arising from Code Smell Interactions
por: Zhang, Zushuai, et al.
Publicado: (2025)

Fine-grained Multi-Document Extraction and Generation of Code Change Rationale
por: Sun, Mehedi, et al.
Publicado: (2026)

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks
por: Zhang, Jiaqi, et al.
Publicado: (2025)

Does AI Code Review Lead to Code Changes? A Case Study of GitHub Actions
por: Sun, Kexin, et al.
Publicado: (2025)

Brevity is the Soul of Wit: Condensing Code Changes to Improve Commit Message Generation
por: Kuang, Hongyu, et al.
Publicado: (2025)

Identifying Bug Inducing Commits by Combining Fault Localisation and Code Change Histories
por: An, Gabin, et al.
Publicado: (2025)

Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study
por: Liu, Shuo, et al.
Publicado: (2024)

The Essence of Software Engineering
Publicado: (2018)

Exploring Conceptual Modeling Metaphysics: Existence Containers, Leibniz's Monads and Avicenna's Essence
por: Al-Fedaghi, Sabah
Publicado: (2024)

Refactoring $\neq$ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis
por: Niu, Feifei, et al.
Publicado: (2025)

Process-based Indicators of Vulnerability Re-Introducing Code Changes: An Exploratory Case Study
por: Shimmi, Samiha, et al.
Publicado: (2025)

VFDelta: A Framework for Detecting Silent Vulnerability Fixes by Enhancing Code Change Learning
por: Yang, Xu, et al.
Publicado: (2024)

SmartPatchLinker: An Open-Source Tool to Linked Changes Detection for Code Review
por: Khemissi, Islem, et al.
Publicado: (2026)

The Good, the Bad, and the Monstrous: Predicting Highly Change-Prone Source Code Methods at Their Inception
por: Chowdhury, Shaiful
Publicado: (2024)

Collaborative Design and Planning of Software Architecture Changes via Software City Visualization
por: Krause-Glau, Alexander, et al.
Publicado: (2024)

From Code Changes to Quality Gains: An Empirical Study in Python ML Systems with PyQu
por: Almukhtar, Mohamed, et al.
Publicado: (2025)

LLM-Based Detection of Tangled Code Changes for Higher-Quality Method-Level Bug Datasets
por: Opu, Md Nahidul Islam, et al.
Publicado: (2025)

RippleGUItester: Change-Aware Exploratory Testing
por: Su, Yanqi, et al.
Publicado: (2026)

Change Logging and Mining of Change Logs of Business Processes -- A Literature Review
por: Ghahderijani, Arash Yadegari, et al.
Publicado: (2025)

Code Change Characteristics and Description Alignment: A Comparative Study of Agentic versus Human Pull Requests
por: Pham, Dung, et al.
Publicado: (2026)

PSD2Code: Automated Front-End Code Generation from Design Files via Multimodal Large Language Models
por: Chen, Yongxi, et al.
Publicado: (2025)

Compilation of Commit Changes within Java Source Code Repositories
por: Schott, Stefan, et al.
Publicado: (2024)

Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM
por: Yang, Xu, et al.
Publicado: (2025)