Copertina

Semistructured Merge with Language-Specific Syntactic Separators

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cavalcanti, Guilherme, Borba, Paulo, Anjos, Leonardo dos, Clementino, Jonatas
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LastMerge: A language-agnostic structured tool for code integration
di: Duarte, Joao Pedro, et al.
Pubblicazione: (2025)

Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code?
di: Velasco, Alejandro, et al.
Pubblicazione: (2024)

Optimized Log Parsing with Syntactic Modifications
di: Enan, Nafid, et al.
Pubblicazione: (2025)

Using Information Flow to estimate interference between developers same method contributions
di: Filho, Roberto Souto Maior de Barros, et al.
Pubblicazione: (2024)

Lightweight Syntactic API Usage Analysis with UCov
di: Monce, Gustave, et al.
Pubblicazione: (2024)

SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection
di: Nguyen, Van, et al.
Pubblicazione: (2024)

Data-Driven Evidence-Based Syntactic Sugar Design
di: OBrien, David, et al.
Pubblicazione: (2024)

MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
di: Dehghan, Meghdad, et al.
Pubblicazione: (2024)

The Effect of Pointer Analysis on Semantic Conflict Detection
di: Barbosa, Matheus, et al.
Pubblicazione: (2025)

On the Structure and Semantics of Identifier Names Containing Closed Syntactic Category Words
di: Newman, Christian D., et al.
Pubblicazione: (2025)

RefFilter: Improving Semantic Conflict Detection via Refactoring-Aware Static Analysis
di: Lira, Victor, et al.
Pubblicazione: (2025)

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation
di: Sarker, Laboni, et al.
Pubblicazione: (2024)

AutoMerge: Search-Based Model Merging Framework for Effective Model Reuse
di: Lu, You, et al.
Pubblicazione: (2026)

Detecção de Conflitos Semânticos com Testes Gerados por LLM
di: Barbosa, Nathalia, et al.
Pubblicazione: (2025)

Machine Translation Testing via Syntactic Tree Pruning
di: Zhang, Quanjun, et al.
Pubblicazione: (2024)

Choosing the Right Git Workflow: A Comparative Analysis of Trunk-based vs. Branch-based Approaches
di: Lopes, Pedro, et al.
Pubblicazione: (2025)

Analyzing and Evaluating the Behavior of Git Diff and Merge
di: Glodny, Niels
Pubblicazione: (2025)

An Agile Formal Specification Language Design Based on K Framework
di: Zhang, Jianyu, et al.
Pubblicazione: (2024)

How Effective are Large Language Models in Generating Software Specifications?
di: Xie, Danning, et al.
Pubblicazione: (2023)

On the Effectiveness of Large Language Models in Domain-Specific Code Generation
di: Gu, Xiaodong, et al.
Pubblicazione: (2023)

Detecting Semantic Conflicts with Unit Tests
di: Da Silva, Léuson, et al.
Pubblicazione: (2023)

On the Effect of Token Merging on Pre-trained Models for Code
di: Saad, Mootez, et al.
Pubblicazione: (2025)

Fixing Large Language Models' Specification Misunderstanding for Better Code Generation
di: Tian, Zhao, et al.
Pubblicazione: (2023)

Why Are Agentic Pull Requests Merged or Rejected? An Empirical Study
di: Peralta, Sien Reeve O., et al.
Pubblicazione: (2026)

An Empirical Study on the Amount of Changes Required for Merge Request Acceptance
di: Kansab, Samah, et al.
Pubblicazione: (2025)

Seeking Specifications: The Case for Neuro-Symbolic Specification Synthesis
di: Granberry, George, et al.
Pubblicazione: (2025)

An Empirical Evaluation of Pre-trained Large Language Models for Repairing Declarative Formal Specifications
di: Alhanahnah, Mohannad, et al.
Pubblicazione: (2024)

SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications
di: Ma, Lezhi, et al.
Pubblicazione: (2024)

DiffSpec: Differential Testing with LLMs using Natural Language Specifications and Code Artifacts
di: Rao, Nikitha, et al.
Pubblicazione: (2024)

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We?
di: Saha, Soumit Kanti, et al.
Pubblicazione: (2024)

SpecGen: Automated Generation of Formal Program Specifications via Large Language Models
di: Ma, Lezhi, et al.
Pubblicazione: (2024)

Automated Program Repair Based on REST API Specifications Using Large Language Models
di: Yamagishi, Katsuki, et al.
Pubblicazione: (2025)

Cross-Task Benchmarking and Evaluation of General-Purpose and Code-Specific Large Language Models
di: Das, Gunjan, et al.
Pubblicazione: (2025)

Improving Merge Pipeline Throughput in Continuous Integration via Pull Request Prioritization
di: Jungwirth, Maximilian, et al.
Pubblicazione: (2025)

A Universal Textual Merge Strategy Based on Tokens for Version Control Systems
di: Gu, Qiqi Jason, et al.
Pubblicazione: (2026)

Enchanting Program Specification Synthesis by Large Language Models using Static Analysis and Program Verification
di: Wen, Cheng, et al.
Pubblicazione: (2024)

SpecTra: Enhancing the Code Translation Ability of Language Models by Generating Multi-Modal Specifications
di: Nitin, Vikram, et al.
Pubblicazione: (2024)

ReqInOne: A Large Language Model-Based Agent for Software Requirements Specification Generation
di: Zhu, Taohong, et al.
Pubblicazione: (2025)

From Online User Feedback to Requirements: Evaluating Large Language Models for Classification and Specification Tasks
di: Mallya, Manjeshwar Aniruddh, et al.
Pubblicazione: (2025)

SCOPE: Tree-based Self-Correcting Online Log Parsing via Syntactic-Semantic Collaboration
di: Fan, Dongyi, et al.
Pubblicazione: (2026)