Copertina

Requirements Coverage-Guided Minimization for Natural Language Test Cases

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pan, Rongqi, Niu, Feifei, Briand, Lionel C., Hu, Hanyang
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

TVR: Automotive System Requirement Traceability Validation and Recovery Through Retrieval-Augmented Generation
di: Niu, Feifei, et al.
Pubblicazione: (2025)

LTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models
di: Pan, Rongqi, et al.
Pubblicazione: (2023)

Automating the Detection of Requirement Dependencies Using Large Language Models
di: Darif, Ikram, et al.
Pubblicazione: (2026)

Supporting System Testing with a Multi-Agent LLM-based Framework for Knowledge Graph Extraction: A Case Study with Ethernet Switch Systems
di: Pan, Rongqi, et al.
Pubblicazione: (2026)

Unknown Attack Detection in IoT Networks using Large Language Models: A Robust, Data-efficient Approach
di: Ali, Shan, et al.
Pubblicazione: (2026)

Classifier or Prompt: A Case Study on Legal Requirements Traceability
di: Etezadi, Romina, et al.
Pubblicazione: (2025)

Mutation-Guided Unit Test Generation with a Large Language Model
di: Wang, Guancheng, et al.
Pubblicazione: (2025)

Learning-Guided Fuzzing for Testing Stateful SDN Controllers
di: Ollando, Raphaël, et al.
Pubblicazione: (2024)

Automated Test Case Repair Using Language Models
di: Yaraghi, Ahmadreza Saboor, et al.
Pubblicazione: (2024)

Legal Requirements Analysis
di: Abualhaija, Sallam, et al.
Pubblicazione: (2023)

Learning-Based Relaxation of Completeness Requirements for Data Entry Forms
di: Belgacem, Hichem, et al.
Pubblicazione: (2023)

AIM: Automated Input Set Minimization for Metamorphic Security Testing
di: Chaleshtari, Nazanin Bayati, et al.
Pubblicazione: (2024)

Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts
di: Yaraghi, Ahmadreza Saboor, et al.
Pubblicazione: (2021)

Fuzzing-based Mutation Testing of C/C++ Software in Cyber-Physical Systems
di: Lee, Jaekwon, et al.
Pubblicazione: (2025)

Drivora: A Unified and Extensible Infrastructure for Search-based Autonomous Driving Testing
di: Cheng, Mingfei, et al.
Pubblicazione: (2026)

Testing Updated Apps by Adapting Learned Models
di: Ngo, Chanh-Duc, et al.
Pubblicazione: (2023)

Search-based DNN Testing and Retraining with GAN-enhanced Simulations
di: Attaoui, Mohammed Oualid, et al.
Pubblicazione: (2024)

MOTIF: A tool for Mutation Testing with Fuzzing
di: Lee, Jaekwon, et al.
Pubblicazione: (2024)

Constrained Co-evolutionary Metamorphic Differential Testing for Autonomous Systems with an Interpretability Approach
di: Yousefizadeh, Hossein, et al.
Pubblicazione: (2025)

FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
di: Fatima, Sakina, et al.
Pubblicazione: (2023)

Hallucination to Consensus: Multi-Agent LLMs for End-to-End JUnit Test Generation
di: Xu, Qinghua, et al.
Pubblicazione: (2025)

TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks
di: Abbasishahkoo, Amin, et al.
Pubblicazione: (2023)

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems
di: Yousefizadeh, Hossein, et al.
Pubblicazione: (2024)

Efficient Black-Box Fault Localization for System-Level Test Code Using Large Language Models
di: Yaraghi, Ahmadreza Saboor, et al.
Pubblicazione: (2025)

Similar Pattern Annotation via Retrieval Knowledge for LLM-Based Test Code Fault Localization
di: Gharachorlu, Golnaz, et al.
Pubblicazione: (2026)

Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring
di: Ayotunde, John, et al.
Pubblicazione: (2026)

LLM-Driven Cost-Effective Requirements Change Impact Analysis
di: Etezadi, Romina, et al.
Pubblicazione: (2025)

Stress Testing Control Loops in Cyber-Physical Systems
di: Mandrioli, Claudio, et al.
Pubblicazione: (2023)

MetaSel: A Test Selection Approach for Fine-tuned DNN Models
di: Abbasishahkoo, Amin, et al.
Pubblicazione: (2025)

Generalizing Test Cases for Comprehensive Test Scenario Coverage
di: Qi, Binhang, et al.
Pubblicazione: (2026)

Testing CPS with Design Assumptions-Based Metamorphic Relations and Genetic Programming
di: Mandrioli, Claudio, et al.
Pubblicazione: (2024)

Natural Language Processing for Requirements Traceability
di: Guo, Jin L. C., et al.
Pubblicazione: (2024)

A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms
di: Belgacem, Hichem, et al.
Pubblicazione: (2022)

Call-Chain-Aware LLM-Based Test Generation for Java Projects
di: Wang, Guancheng, et al.
Pubblicazione: (2026)

Quantum-Guided Test Case Minimization for LLM-Based Code Generation
di: Zhang, Huixiang, et al.
Pubblicazione: (2025)

SAGA: Detecting Security Vulnerabilities Using Static Aspect Analysis
di: Marquer, Yoann, et al.
Pubblicazione: (2026)

LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs
di: Hadadi, Fatemeh, et al.
Pubblicazione: (2024)

Trace Diagnostics for Signal-based Temporal Properties
di: Boufaied, Chaima, et al.
Pubblicazione: (2022)

DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
di: Aghababaeyan, Zohreh, et al.
Pubblicazione: (2023)

Many-Objective Search-Based Coverage-Guided Automatic Test Generation for Deep Neural Networks
di: Li, Dongcheng, et al.
Pubblicazione: (2024)