:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Han, Hu, Han, Chen, Chunyang, Turhan, Burak
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2407.21429
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects
by: Wang, Han, et al.
Published: (2024)

What do AI/ML practitioners think about AI/ML bias?
by: Pant, Aastha, et al.
Published: (2024)

Ethics in AI through the Practitioner's View: A Grounded Theory Literature Review
by: Pant, Aastha, et al.
Published: (2022)

Prompting Is All You Need: Automated Android Bug Replay with Large Language Models
by: Feng, Sidong, et al.
Published: (2023)

SAGA: Summarization-Guided Assert Statement Generation
by: Zhang, Yuwei, et al.
Published: (2023)

Enhancing GUI Exploration Coverage of Android Apps with Deep Link-Integrated Monkey
by: Hu, Han, et al.
Published: (2024)

Software Testing with Large Language Models: Survey, Landscape, and Vision
by: Wang, Junjie, et al.
Published: (2023)

SOGPTSpotter: Detecting ChatGPT-Generated Answers on Stack Overflow
by: Ma, Suyu, et al.
Published: (2026)

Large Language Models for Mobile GUI Text Input Generation: An Empirical Study
by: Cui, Chenhui, et al.
Published: (2024)

Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
by: Pant, Aastha, et al.
Published: (2024)

ChatUniTest: A Framework for LLM-Based Test Generation
by: Chen, Yinghao, et al.
Published: (2023)

AssertFlip: Reproducing Bugs via Inversion of LLM-Generated Passing Tests
by: Khatib, Lara, et al.
Published: (2025)

Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search
by: Zhang, Jiayi, et al.
Published: (2025)

AccessFixer: Enhancing GUI Accessibility for Low Vision Users With R-GCN Model
by: Zhang, Mengxi, et al.
Published: (2025)

A Multi-Language Object-Oriented Programming Benchmark for Large Language Models
by: Wang, Shuai, et al.
Published: (2025)

ViBR: Automated Bug Replay from Video-based Reports using Vision-Language Models
by: Feng, Sidong, et al.
Published: (2026)

Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair
by: Li, Guochang, et al.
Published: (2024)

Supporting Software Formal Verification with Large Language Models: An Experimental Study
by: Wang, Weiqi, et al.
Published: (2025)

An Empirical Study on Low-Code Programming using Traditional vs Large Language Model Support
by: Liu, Yongkun, et al.
Published: (2024)

AutoAssert 1: A LoRA Fine-Tuned LLM Model for Efficient Automated Assertion Generation
by: Zhong, Yi, et al.
Published: (2025)

Impact of Large Language Models of Code on Fault Localization
by: Ji, Suhwan, et al.
Published: (2024)

A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair
by: Zhang, Quanjun, et al.
Published: (2023)

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models
by: Zhang, Kunpeng, et al.
Published: (2025)

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

From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps
by: Mao, Yuetian, et al.
Published: (2025)

Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation
by: Jin, Kailun, et al.
Published: (2024)

WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality
by: Li, Chunyang, et al.
Published: (2025)

Designing a Custom Chaos Engineering Framework for Enhanced System Resilience at Softtech
by: Aktas, Ethem Utku, et al.
Published: (2025)

VulStamp: Vulnerability Assessment using Large Language Model
by: Shen, Hao, et al.
Published: (2025)

Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models
by: Zhou, Mingyi, et al.
Published: (2024)

Understanding Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities
by: Hu, Yanzhe, et al.
Published: (2025)

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

DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators
by: Zhou, Mingyi, et al.
Published: (2024)

Guidelines for Empirical Studies in Software Engineering involving Large Language Models
by: Baltes, Sebastian, et al.
Published: (2025)

Seeing is Believing: Vision-driven Non-crash Functional Bug Detection for Mobile Apps
by: Liu, Zhe, et al.
Published: (2024)

Neuron Patching: Semantic-based Neuron-level Language Model Repair for Code Generation
by: Gu, Jian, et al.
Published: (2023)

LineBreaker: Finding Token-Inconsistency Bugs with Large Language Models
by: Chen, Hongbo, et al.
Published: (2024)

AssertCoder: LLM-Based Assertion Generation via Multimodal Specification Extraction
by: Tian, Enyuan, et al.
Published: (2025)

Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Fixing
by: Huang, Kai, et al.
Published: (2025)

On the Evaluation of Large Language Models in Unit Test Generation
by: Yang, Lin, et al.
Published: (2024)