LLM-Powered Automated Test Coverage Evaluation: Assessing Accuracy, Reliability, and Cost-Effectiveness
Analysis
This ArXiv paper explores the use of Large Language Models (LLMs) to automate test coverage evaluation, offering potential benefits in terms of scalability and reduced manual effort. The study's focus on accuracy, operational reliability, and cost is crucial for understanding the practical viability of this approach.
Key Takeaways
- •The paper examines using LLMs to automate the evaluation of test coverage.
- •It likely assesses the accuracy of the LLM in this task.
- •Operational reliability and cost-effectiveness are key considerations.
Reference
“The paper investigates using LLMs for test coverage evaluation.”