:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	De Rosa, Giuseppe, Liguori, Pietro
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2604.26667
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PyResBugs: A Dataset of Residual Python Bugs for Natural Language-Driven Fault Injection
by: Cotroneo, Domenico, et al.
Published: (2025)

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity
by: Cotroneo, Domenico, et al.
Published: (2025)

Neural Fault Injection: Generating Software Faults from Natural Language
by: Cotroneo, Domenico, et al.
Published: (2024)

DeVAIC: A Tool for Security Assessment of AI-generated Code
by: Cotroneo, Domenico, et al.
Published: (2024)

Defect Prediction Using Stylistic Metrics
by: Yasir, Rafed Muhammad, et al.
Published: (2022)

Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation
by: Improta, Cristina, et al.
Published: (2025)

Critical Considerations on Effort-aware Software Defect Prediction Metrics
by: Lavazza, Luigi, et al.
Published: (2025)

Breaking the Dependency Chaos: A Constraint-Driven Python Dependency Resolution Strategy with Selective LLM Imputation
by: Chowdhury, Kowshik, et al.
Published: (2026)

CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection
by: Feng, Ruijun, et al.
Published: (2025)

Breaking New Ground in Software Defect Prediction: Introducing Practical and Actionable Metrics with Superior Predictive Power for Enhanced Decision-Making
by: Cataño, Carlos Andrés Ramírez, et al.
Published: (2025)

Co-Change Graph Entropy: A New Process Metric for Defect Prediction
by: Hrishikesh, Ethari, et al.
Published: (2025)

Enhancing AI-based Generation of Software Exploits with Contextual Information
by: Liguori, Pietro, et al.
Published: (2024)

The Power of Words: Generating PowerShell Attacks from Natural Language
by: Liguori, Pietro, et al.
Published: (2024)

Automating the Correctness Assessment of AI-generated Code for Security Contexts
by: Cotroneo, Domenico, et al.
Published: (2023)

An Audit of Machine Learning Experiments on Software Defect Prediction
by: Destefanis, Giuseppe, et al.
Published: (2026)

When Shared Worlds Break: Demystifying Defects in Multi-User Extended Reality Software Systems
by: Li, Shuqing, et al.
Published: (2025)

Hybrid Fault-Driven Mutation Testing for Python
by: Alimadadi, Saba, et al.
Published: (2026)

HQPEF-Py: Metrics, Python Patterns, and Guidance for Evaluating Hybrid Quantum Programs
by: Osei, Michael Adjei, et al.
Published: (2025)

AI Code Generators for Security: Friend or Foe?
by: Natella, Roberto, et al.
Published: (2024)

Building Defect Prediction Models by Online Learning Considering Defect Overlooking
by: Fedorov, Nikolay, et al.
Published: (2024)

From Translation to Superset: Benchmark-Driven Evolution of a Production AI Agent from Rust to Python
by: Wang, Jinhua, et al.
Published: (2026)

What Makes Software Bugs Escape Testing? Evidence from a Large-Scale Empirical Study
by: Cotroneo, Domenico, et al.
Published: (2026)

The Impact of Defect (Re) Prediction on Software Testing
by: Murakami, Yukasa, et al.
Published: (2024)

Statistical-Based Metric Threshold Setting Method for Software Fault Prediction in Firmware Projects: An Industrial Experience
by: De Luca, Marco, et al.
Published: (2026)

ESBMC-Python: A Bounded Model Checker for Python Programs
by: Farias, Bruno, et al.
Published: (2024)

Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models
by: Zhang, Zejun, et al.
Published: (2024)

Cascade Generalization-based Classifiers for Software Defect Prediction
by: Bashir, Aminat, et al.
Published: (2024)

SafePyScript: A Web-Based Solution for Machine Learning-Driven Vulnerability Detection in Python
by: Farasat, Talaya, et al.
Published: (2024)

Defect Category Prediction Based on Multi-Source Domain Adaptation
by: Xing, Ying, et al.
Published: (2024)

A Joint Learning Framework for Bridging Defect Prediction and Interpretation
by: Xu, Guifang, et al.
Published: (2025)

Characterizing Python Library Migrations
by: Islam, Mohayeminul, et al.
Published: (2022)

A Generic and Efficient Python Runtime Verification System and its Large-scale Evaluation
by: Shen, Zhuohang, et al.
Published: (2025)

Testing in the Evolving World of DL Systems:Insights from Python GitHub Projects
by: Ali, Qurban, et al.
Published: (2024)

Context-Adaptive Requirements Defect Prediction through Human-LLM Collaboration
by: Unterbusch, Max, et al.
Published: (2026)

Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving Systems
by: Mohammad, Faisal, et al.
Published: (2025)

Contrasting the Hyperparameter Tuning Impact Across Software Defect Prediction Scenarios
by: Rakha, Mohamed Sami, et al.
Published: (2025)

An Empirical Study on JIT Defect Prediction Based on BERT-style Model
by: Guo, Yuxiang, et al.
Published: (2024)

Beyond Rules: LLM-Powered Linting for Quantum Programs
by: Cassieri, Pietro, et al.
Published: (2026)

Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot
by: Bifolco, Daniele, et al.
Published: (2025)

Financial Twin Chain, a Platform to Support Financial Sustainability in Supply Chains
by: Galante, Giuseppe, et al.
Published: (2025)