Copertina

Unveiling Hybrid Cyclomatic Complexity: A Comprehensive Analysis and Evaluation as an Integral Feature in Automatic Defect Prediction Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cernau, Laura Diana, Diosan, Laura, Serban, Camelia
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Evaluating the Dependency Between Cyclomatic Complexity and Response For Class
di: Stavtsev, Maxim, et al.
Pubblicazione: (2024)

The Impact of Mutability on Cyclomatic Complexity in Java
di: Bagaev, Marat, et al.
Pubblicazione: (2024)

Feature Importance in the Context of Traditional and Just-In-Time Software Defect Prediction Models
di: Haldar, Susmita, et al.
Pubblicazione: (2024)

A Hybrid Sampling and Multi-Objective Optimization Approach for Enhanced Software Defect Prediction
di: Zhang, Jie, et al.
Pubblicazione: (2024)

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

SDPERL: A Framework for Software Defect Prediction Using Ensemble Feature Extraction and Reinforcement Learning
di: Hesamolhokama, Mohsen, et al.
Pubblicazione: (2024)

Evaluating Software Defect Prediction Models via the Area Under the ROC Curve Can Be Misleading
di: Lavazza, Luigi, et al.
Pubblicazione: (2026)

Can Large Language Models Assist the Comprehension of ROS2 Software Architectures?
di: Duits, Laura, et al.
Pubblicazione: (2026)

From Bugs to Benchmarks: A Comprehensive Survey of Software Defect Datasets
di: Zhu, Hao-Nan, et al.
Pubblicazione: (2025)

Defect Prediction with Content-based Features
di: Pham, Hung Viet, et al.
Pubblicazione: (2024)

Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
di: Mandal, Ashis Kumar, et al.
Pubblicazione: (2024)

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

Refactoring $\neq$ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis
di: Niu, Feifei, et al.
Pubblicazione: (2025)

A Combined Feature Embedding Tools for Multi-Class Software Defect and Identification
di: Sultan, Md. Fahim, et al.
Pubblicazione: (2024)

NumScout: Unveiling Numerical Defects in Smart Contracts using LLM-Pruning Symbolic Execution
di: Chen, Jiachi, et al.
Pubblicazione: (2025)

STEPWISE-CODEX-Bench: Evaluating Complex Multi-Function Comprehension and Fine-Grained Execution Reasoning
di: Yan, Kaiwen, et al.
Pubblicazione: (2025)

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

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

Relative Code Comprehensibility Prediction
di: De Silva, Nadeeshan, et al.
Pubblicazione: (2025)

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

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

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code
di: Feng, Jia, et al.
Pubblicazione: (2024)

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

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

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

Narrowing the Complexity Gap in the Evaluation of Large Language Models
di: Chen, Yang, et al.
Pubblicazione: (2026)

BinMetric: A Comprehensive Binary Analysis Benchmark for Large Language Models
di: Shang, Xiuwei, et al.
Pubblicazione: (2025)

Unveiling Memorization in Code Models
di: Yang, Zhou, et al.
Pubblicazione: (2023)

Software Defect Prediction using Autoencoder Transformer Model
di: Barma, Seshu, et al.
Pubblicazione: (2025)

Automatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management
di: Jin, Dongming, et al.
Pubblicazione: (2025)

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

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

Will It Break in Production? Metric-Driven Prediction of Residual Defects in Python Systems
di: De Rosa, Giuseppe, et al.
Pubblicazione: (2026)

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

Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports
di: Ouédraogo, Wendkûuni C., et al.
Pubblicazione: (2023)

Verifier Warnings Do Not Improve Comprehensibility Prediction
di: De Silva, Nadeeshan, et al.
Pubblicazione: (2026)

IRJIT: A Simple, Online, Information Retrieval Approach for Just-In-Time Software Defect Prediction
di: Sahar, Hareem, et al.
Pubblicazione: (2022)

CLARA: A Developer's Companion for Code Comprehension and Analysis
di: Adnan, Ahmed, et al.
Pubblicazione: (2025)

Fairness Testing: A Comprehensive Survey and Analysis of Trends
di: Chen, Zhenpeng, et al.
Pubblicazione: (2022)

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