RESTestBench shows that LLM-generated REST API test effectiveness drops when interacting with faulty or mutated code, especially for vague requirements, indicating that high-detail requirements make direct SUT interaction unnecessary.
Testing RESTful APIs: A survey.ACM Trans
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 3
citation-polarity summary
fields
cs.SE 3roles
background 3polarities
background 3representative citing papers
APIDiffer automatically detects 72 API inconsistencies across 11 Ethereum clients using specification-guided test generation and LLM-based false-positive filtering, with 90% of bugs confirmed by developers.
A research roadmap analyzing the current state of search-based software engineering with foundation models, outlining challenges and directions across three integration aspects.
citing papers explorer
-
RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements
RESTestBench shows that LLM-generated REST API test effectiveness drops when interacting with faulty or mutated code, especially for vague requirements, indicating that high-detail requirements make direct SUT interaction unnecessary.
-
When Specifications Meet Reality: Uncovering API Inconsistencies in Ethereum Infrastructure
APIDiffer automatically detects 72 API inconsistencies across 11 Ethereum clients using specification-guided test generation and LLM-based false-positive filtering, with 90% of bugs confirmed by developers.
-
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap
A research roadmap analyzing the current state of search-based software engineering with foundation models, outlining challenges and directions across three integration aspects.