Image de couverture de livre

An Empirical Study of the Impact of Test Strategies on Online Optimization for Ensemble-Learning Defect Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hamamoto, Kensei, Tsunoda, Masateru, Tahir, Amjed, Bennin, Kwabena Ebo, Monden, Akito, Toda, Koji, Nakasai, Keitaro, Matsumoto, Kenichi
Format:	Preprint
Publié:	2024
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Impact of Defect (Re) Prediction on Software Testing
par: Murakami, Yukasa, et autres
Publié: (2024)

Building Defect Prediction Models by Online Learning Considering Defect Overlooking
par: Fedorov, Nikolay, et autres
Publié: (2024)

Personalization of Code Readability Evaluation Based on LLM Using Collaborative Filtering
par: Hiraki, Buntaro, et autres
Publié: (2024)

On Applying Bandit Algorithm to Fault Localization Techniques
par: Nakao, Masato, et autres
Publié: (2024)

Influence of Skill and Knowledge of Programmers on Program Behavior Visualization by CS Unplugged
par: Jinnouchi, Sumika, et autres
Publié: (2024)

From Prompting to Verification: How Experience Shapes Vibe Coding Practices
par: Fawzy, Ahmed, et autres
Publié: (2026)

Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook -- a Grey Literature Review
par: Fawzy, Ahmed, et autres
Publié: (2025)

A Systematic Evaluation of Environmental Flakiness in JavaScript Tests
par: Hashemi, Negar, et autres
Publié: (2026)

JS-TOD: Detecting Order-Dependent Flaky Tests in Jest
par: Hashemi, Negar, et autres
Publié: (2025)

Detecting and Evaluating Order-Dependent Flaky Tests in JavaScript
par: Hashemi, Negar, et autres
Publié: (2025)

On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies
par: Jahromi, Ali Soltanian Fard, et autres
Publié: (2026)

Exploring Data Management Challenges and Solutions in Agile Software Development: A Literature Review and Practitioner Survey
par: Fawzy, Ahmed, et autres
Publié: (2024)

Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub
par: Aktar, Mst Shamima, et autres
Publié: (2023)

On Developers' Self-Declaration of AI-Generated Code: An Analysis of Practices
par: Kashif, Syed Mohammad, et autres
Publié: (2025)

Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study
par: Fu, Yujia, et autres
Publié: (2023)

The Future of Software Engineering Conferences: A New Zealand Perspective
par: Blincoe, Kelly, et autres
Publié: (2026)

Understanding the Characteristics of LLM-Generated Property-Based Tests in Exploring Edge Cases
par: Tanaka, Hidetake, et autres
Publié: (2025)

Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventions
par: Xiao, Tao, et autres
Publié: (2024)

A Survey of Bugs in AI-Generated Code
par: Gao, Ruofan, et autres
Publié: (2025)

Let's Make Every Pull Request Meaningful: An Empirical Analysis of Developer and Agentic Pull Requests
par: Yoshioka, Haruhiko, et autres
Publié: (2026)

"My GitHub Sponsors profile is live!" Investigating the Impact of Twitter/X Mentions on GitHub Sponsors
par: Fan, Youmei, et autres
Publié: (2024)

Decision Models for Selecting Architecture Patterns and Strategies in Quantum Software Systems
par: Aktar, Mst Shamima, et autres
Publié: (2025)

An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors
par: Yu, Jiaxin, et autres
Publié: (2024)

eye2vec: Learning Distributed Representations of Eye Movement for Program Comprehension Analysis
par: Yoshioka, Haruhiko, et autres
Publié: (2025)

DevGPT: Studying Developer-ChatGPT Conversations
par: Xiao, Tao, et autres
Publié: (2023)

Beyond Functional Correctness: Design Issues in AI IDE-Generated Large-Scale Projects
par: Kashif, Syed Mohammad, et autres
Publié: (2026)

Human to Document, AI to Code: Comparing GenAI for Notebook Competitions
par: Settewong, Tasha, et autres
Publié: (2025)

FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
par: Wu, Yue, et autres
Publié: (2025)

Unit Testing Past vs. Present: Examining LLMs' Impact on Defect Detection and Efficiency
par: Ramler, Rudolf, et autres
Publié: (2025)

How Do Developers Use Migration Guides? A Case Study of Log4j
par: Monno, Takahiro, et autres
Publié: (2026)

Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation
par: Sun, Zhihong, et autres
Publié: (2025)

An Empirical Study on JIT Defect Prediction Based on BERT-style Model
par: Guo, Yuxiang, et autres
Publié: (2024)

How Maintainable is Proficient Code? A Case Study of Three PyPI Libraries
par: Febriyanti, Indira, et autres
Publié: (2024)

A Longitudinal Analysis of Good First Issue Practices and Newcomer Pull Requests in Popular OSS Projects
par: Hoshikawa, Hirotatsu, et autres
Publié: (2026)

To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study
par: Sawada, Shota, et autres
Publié: (2026)

How Natural Language Proficiency Shapes GenAI Code for Software Engineering Tasks
par: Rojpaisarnkit, Ruksit, et autres
Publié: (2025)

Empirical Derivations from an Evolving Test Suite
par: Ruohonen, Jukka, et autres
Publié: (2025)

SDPERL: A Framework for Software Defect Prediction Using Ensemble Feature Extraction and Reinforcement Learning
par: Hesamolhokama, Mohsen, et autres
Publié: (2024)

Testing the Untestable? An Empirical Study on the Testing Process of LLM-Powered Software Systems
par: Magalhaes, Cleyton, et autres
Publié: (2025)

Testing with AI Agents: An Empirical Study of Test Generation Frequency, Quality, and Coverage
par: Yoshimoto, Suzuka, et autres
Publié: (2026)