Latest Research in Industrial Software Diagnostics

Top Research Topics in Industrial Software Diagnostics

• Software Engineering — 38 papers
• Artificial Intelligence — 10 papers
• Geographic Information Systems Studies — 9 papers
• Software Testing and Debugging Techniques — 7 papers
• Computer Vision and Pattern Recognition — 6 papers
• Computation and Language — 5 papers
• Machine Learning in Materials Science — 4 papers
• Software System Performance and Reliability — 3 papers
• Advanced Graph Neural Networks — 3 papers
• Human-Computer Interaction — 3 papers

Highest-Cited Papers

1. Displaced and Suppressed: A Root-Cause Taxonomy of Test Failures in a Large Industrial Playwright/BDD Suite
2. Are Production Cloud Skills Adequately Tested? Measuring and Governing Skill Test Adequacy in Practice
3. A distributed data governance architecture for smart cities based on data unified registration, dynamic catalog, and local LLM data coordination
4. R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Video
5. Lifecycle-aware knowledge graphs with human-in-the-loop agentic retrieval for automotive manufacturing
6. MMArt A Multi-Perspective Multimodal Dataset for Visual Art Understanding
7. An Empirical Study of Gemini 3 for Detecting Natural Language Test Smells in Manual Test Cases
8. EXTRACTED METHOD: enclosure_geometry_survey — E8 Intelligence Research
9. Monotonicity-Guided Bottom-Up Petri Net Discovery: The SPECpp Framework
10. Verifiably grounded machine interpretation of lunar geology
11. Tangent: An Empirical Study of Testing Practices for LLM-Based Agent Applications
12. Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspective
13. Identification Survey for Archaeological Resources Associated with the Lighter-Than-Air Historic District, Joint Base McGuire-Dix-Lakehurst, NJ
14. A Toolset-FirstParadigm Based on Large Language Modeland Agent via Model Context Protocol for Intelligent Computation
15. Refining LLM-based Directed Test Input Generation via Runtime Value Feedback
16. “Now everyone will learn to appreciate Tshibelabela”: The moral economy of dogmeat, cultural heritage and ethnic ‘tribalism’ in Lubumbashi, DRC
17. On the Diffusion of Test Smells in LLM-Generated Unit Tests (1 citations)
18. Unitization Before Extraction: A Pre-Registered Decomposition of Disagreement in Machine Recovery of Dependency Structure
19. Agent-Based Test Assertion Generation via Diverse Perspective Aggregation
20. Probe to Generate: Program Variant-Guided Test Augmentation for Repository-Level Repair Benchmarks

Sub-Regions

• Artificial Intelligence — 55 papers
• Software Engineering — 31 papers
• Software Testing and Debugging Techniques — 22 papers
• Machine Learning in Materials Science — 20 papers
• Computer Vision and Pattern Recognition — 16 papers
• Geophysical Methods and Applications — 12 papers