Latest Research in Test-Driven Verification Frameworks
254 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Test-Driven Verification Frameworks
- Software Engineering — 48 papers
- Geographic Information Systems Studies — 24 papers
- Artificial Intelligence — 13 papers
- Computer Vision and Pattern Recognition — 10 papers
- Computation and Language — 9 papers
- Software Testing and Debugging Techniques — 9 papers
- Software System Performance and Reliability — 5 papers
- Sensory Analysis and Statistical Methods — 4 papers
- Machine Learning in Materials Science — 4 papers
- Consumer Attitudes and Food Labeling — 4 papers
Highest-Cited Papers
- Making Implicit Premises Explicit in Logical Understanding of Enthymemes
- Tangut Word Segmentation under Extreme Resource Scarcity: Integrating Traditional Lexicons and Unlabeled Text
- A Configuration-First Framework for Reproducible, Low-Code Machine Learning: a Localization Use Case
- Code Health in LLM-Based Test Generation: Effectiveness and Token Efficiency
- A Locally Deployable Tool-Grounded LLM Multi-agent Framework for Automating Methane Emission Analysis and Reporting
- Wind Turbine Maintenance Log Labelling Framework: LLM-Driven Data Correction and Enrichment via Semantic Extraction of Reliability Intelligence
- A Formal Trustworthiness Construct for Large Language Model-Based Test Generation: A Multidimensional Index Empirically Evaluated Through a Multi-Agent Study
- VTL-FND: A Variational Topic Latent Modeling Algorithm for Fine-grained Neural Discrepancy Learning
- AI-Driven Semantic Processing of Notices to Air Missions for Aeronautical Information Management: Ontology-Grounded Type-Aware Extraction
- The Polyglot's Dilemma: Conformance Testing a Dozen Specs in as Many Languages
- Reinforcing Consistency in Video MLLMs with Structured Rewards
- Where A Small Language Model Helps in Invoice Categorisation, Understood Through Embedding Geometry
- REST API Testing with Verified LLM-Inferred Dependencies and Response-Driven Refinement
- A Comprehensive Review of Large Language Models for Nanophotonics: From Surrogate Modeling to Autonomous Design
- Insights Into Public Attitudes for Effective First Responder Communication During a Simulated Mass Casualty Incident
- Sensory Drivers and Emotional Determinants of Low- and Non-Alcoholic Beer Acceptance Among Young Romanian Consumers
- Understanding critical-class prioritization in class integration test order generation with a GNN-D3QN framework
- Test Case Generation from Large Language Mode - Systematic Mapping Studies (2023 - 2025) - Code Results
- Test Case Generation from Large Language Mode - Systematic Mapping Studies (2023 - 2025) - Code Results
- OGSAgent: an MCP-based multi-agent collaboration framework for intelligent GIServices
Sub-Regions
- Software Engineering — 83 papers
- Semantic Web and Ontologies — 50 papers
- Computation and Language — 46 papers
- Consumer Attitudes and Food Labeling — 25 papers
- Human-Computer Interaction — 22 papers
- Geographic Information Systems Studies — 19 papers