Imagen de Portada

Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ouédraogo, Wendkûuni C., Plein, Laura, Kaboré, Kader, Habib, Andrew, Klein, Jacques, Lo, David, Bissyandé, Tegawendé F.
Formato:	Preprint
Publicado:	2023
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation
por: Ouédraogo, Wendkûuni C., et al.
Publicado: (2024)

Test smells in LLM-Generated Unit Tests
por: Ouédraogo, Wendkûuni C., et al.
Publicado: (2024)

Beyond Surface Similarity: Evaluating LLM-Based Test Refactorings with Structural and Semantic Awareness
por: Ouédraogo, Wendkûuni C., et al.
Publicado: (2025)

Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception
por: Ouédraogo, Wendkûuni C., et al.
Publicado: (2025)

The Struggles of LLMs in Cross-lingual Code Clone Detection
por: Moumoula, Micheline Bénédicte, et al.
Publicado: (2024)

Programming Language Confusion: When Code LLMs Can't Keep their Languages Straight
por: Moumoula, Micheline Bénédicte, et al.
Publicado: (2025)

The Code Barrier: What LLMs Actually Understand?
por: Nikiema, Serge Lionel, et al.
Publicado: (2025)

Learned or Memorized ? Quantifying Memorization Advantage in Code LLMs
por: Euraste, Djiré Albérick, et al.
Publicado: (2026)

Human-Aligned Code Readability Assessment with Large Language Models
por: Ouédraogo, Wendkûuni C., et al.
Publicado: (2025)

Beyond Language Barriers: Multi-Agent Coordination for Multi-Language Code Generation
por: Moumoula, Micheline Bénédicte, et al.
Publicado: (2025)

Correctness isnt Efficiency: Runtime Memory Divergence in LLM-Generated Code
por: Rajput, Prateek, et al.
Publicado: (2026)

Boosting Open-Source LLMs for Program Repair via Reasoning Transfer and LLM-Guided Reinforcement Learning
por: Tang, Xunzhu, et al.
Publicado: (2025)

AndroLibZoo: A Reliable Dataset of Libraries Based on Software Dependency Analysis
por: Samhi, Jordan, et al.
Publicado: (2023)

Characterizing Build Compromises Through Vulnerability Disclosure Analysis
por: Diao, Maimouna Tamah, et al.
Publicado: (2025)

How Secure is Secure Code Generation? Adversarial Prompts Put LLM Defenses to the Test
por: Tessa, Melissa, et al.
Publicado: (2026)

Security Evaluation of Android apps in budget African Mobile Devices
por: Diallo, Alioune, et al.
Publicado: (2025)

From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software
por: Diouf, Moustapha Awwalou, et al.
Publicado: (2025)

Evaluating Large Language Models in detecting Secrets in Android Apps
por: Alecci, Marco, et al.
Publicado: (2025)

Dynamic Stability of LLM-Generated Code
por: Rajput, Prateek, et al.
Publicado: (2025)

Software Security in Software-Defined Networking: A Systematic Literature Review
por: Diouf, Moustapha Awwalou, et al.
Publicado: (2025)

Call Graph Soundness in Android Static Analysis
por: Samhi, Jordan, et al.
Publicado: (2024)

Reinforcement Learning-Guided Chain-of-Draft for Token-Efficient Code Generation
por: Tang, Xunzhu, et al.
Publicado: (2025)

Detection of security smells in IaC scripts through semantics-aware code and language processing
por: War, Aicha, et al.
Publicado: (2025)

Patch-CLIP: A Patch-Text Pre-Trained Model
por: Tang, Xunzhu, et al.
Publicado: (2023)

Measuring LLM Code Generation Stability via Structural Entropy
por: Song, Yewei, et al.
Publicado: (2025)

MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing
por: Chen, Gong, et al.
Publicado: (2025)

Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance
por: Song, Yewei, et al.
Publicado: (2024)

ContractTrace: Retracing Smart Contract Versions for Security Analyses
por: Mbodji, Fatou Ndiaye, et al.
Publicado: (2024)

Unlocking LLM Repair Capabilities Through Cross-Language Translation and Multi-Agent Refinement
por: Luo, Wenqiang, et al.
Publicado: (2025)

CREF: An LLM-based Conversational Software Repair Framework for Programming Tutors
por: Yang, Boyang, et al.
Publicado: (2024)

SIEVE: Towards Verifiable Certification for Code-datasets
por: Mbodji, Fatou Ndiaye, et al.
Publicado: (2025)

Enhancing Text-to-SQL Translation for Financial System Design
por: Song, Yewei, et al.
Publicado: (2023)

MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-tuning
por: Yang, Boyang, et al.
Publicado: (2024)

DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware
por: Sun, Tiezhu, et al.
Publicado: (2024)

Test Case Generation from Bug Reports via Large Language Models: A Cognitive Layered Evaluation Framework
por: Qureshi, Irtaza Sajid, et al.
Publicado: (2025)

CodeAgent: Autonomous Communicative Agents for Code Review
por: Tang, Xunzhu, et al.
Publicado: (2024)

LLPut: Investigating Large Language Models for Bug Report-Based Input Generation
por: Hasan, Alif Al, et al.
Publicado: (2025)

Testing Refactoring Engine via Historical Bug Report driven LLM
por: Wang, Haibo, et al.
Publicado: (2025)

MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
por: Xu, Congying, et al.
Publicado: (2024)

LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs
por: Liu, Kaibo, et al.
Publicado: (2024)