:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Raj, Himanshu, Kumar, Shubham, Kalaivani, J
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2403.11769
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems
by: Tedla, Meghana, et al.
Published: (2024)

SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems
by: Marda, Arya, et al.
Published: (2024)

Examining LLMs Ability to Summarize Code Through Mutation-Analysis
by: Khatib, Lara, et al.
Published: (2026)

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning
by: Tang, Lingxiao, et al.
Published: (2025)

The Role of Cognitive Abilities in Requirements Inspection: Comparing UML and Textual Representations
by: Broccia, Giovanna, et al.
Published: (2026)

Does SWE-Bench-Verified Test Agent Ability or Model Memory?
by: Prathifkumar, Thanosan, et al.
Published: (2025)

Empowering Autonomous Debugging Agents with Efficient Dynamic Analysis
by: Xiang, Jiahong, et al.
Published: (2026)

Assessing the Ability of ChatGPT to Screen Articles for Systematic Reviews
by: Syriani, Eugene, et al.
Published: (2023)

Bidirectional Empowerment of Metamorphic Testing and Large Language Models: A Systematic Survey
by: Zheng, Zheng, et al.
Published: (2026)

Reimagining Self-Adaptation in the Age of Large Language Models
by: Donakanti, Raghav, et al.
Published: (2024)

Improving the Ability of Pre-trained Language Model by Imparting Large Language Model's Experience
by: Yin, Xin, et al.
Published: (2024)

EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits
by: Chi, Wayne, et al.
Published: (2025)

Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings
by: Liu, Changshu, et al.
Published: (2025)

CodeWiki: Evaluating AI's Ability to Generate Holistic Documentation for Large-Scale Codebases
by: Hoang, Anh Nguyen, et al.
Published: (2025)

Empowering AIOps: Leveraging Large Language Models for IT Operations Management
by: Vitui, Arthur, et al.
Published: (2025)

The role of library versions in Developer-ChatGPT conversations
by: Raj, Rachna, et al.
Published: (2024)

Towards Supporting Open Source Library Maintainers with Community-Based Analytics
by: Raj, Rachna, et al.
Published: (2025)

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

A Stochastic Differential Equation Framework for Multi-Objective LLM Interactions: Dynamical Systems Analysis with Code Generation Applications
by: Shukla, Shivani, et al.
Published: (2025)

Code Digital Twin: Empowering LLMs with Tacit Knowledge for Complex Software Development
by: Peng, Xin, et al.
Published: (2025)

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
by: He, Minghua, et al.
Published: (2025)

An Empirical Study of Bitwise Operators Intuitiveness through Performance Metrics
by: Joshi, Shubham
Published: (2025)

Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection
by: Yin, Xin, et al.
Published: (2025)

T5APR: Empowering Automated Program Repair across Languages through Checkpoint Ensemble
by: Gharibi, Reza, et al.
Published: (2023)

Empowering RepoQA-Agent based on Reinforcement Learning Driven by Monte-carlo Tree Search
by: Li, Guochang, et al.
Published: (2025)

Empowering WebAssembly with Thin Kernel Interfaces
by: Ramesh, Arjun, et al.
Published: (2023)

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing
by: Zhang, Yuwei, et al.
Published: (2025)

AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions
by: Wang, Zihan, et al.
Published: (2025)

Exploration and Practice of Improving Programming Ability for the Undergraduates Majoring in Computer Science
by: Yuan, Guowu, et al.
Published: (2025)

Empowering Enterprise Development by Building and Deploying Admin Dashboard using Refine Framework
by: Gajjala, Sai Teja, et al.
Published: (2024)

Navigating MLOps: Insights into Maturity, Lifecycle, Tools, and Careers
by: Stone, Jasper, et al.
Published: (2025)

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research
by: Yan, Shuo, et al.
Published: (2025)

INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
by: Wang, Hanbin, et al.
Published: (2023)

Developing Shared Vocabulary System For Collaborative Software Engineering
by: Hui, Carey Lai Zheng, et al.
Published: (2025)

An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation
by: Gandhi, Shubham, et al.
Published: (2025)

Agentic Code Reasoning
by: Ugare, Shubham, et al.
Published: (2026)

SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models
by: Xu, Jingxuan, et al.
Published: (2025)

LLM-Empowered Functional Safety and Security by Design in Automotive Systems
by: Petrovic, Nenad, et al.
Published: (2026)

A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic System
by: Guo, Jiale, et al.
Published: (2025)

Crystal: Illuminating LLM Abilities on Language and Code
by: Tao, Tianhua, et al.
Published: (2024)