Telefonaktiebolaget lm ericsson (publ) (20240241817). ARTIFICIAL INTELLIGENCE BASED COGNITIVE TEST SCRIPT GENERATION simplified abstract
Contents
ARTIFICIAL INTELLIGENCE BASED COGNITIVE TEST SCRIPT GENERATION
Organization Name
telefonaktiebolaget lm ericsson (publ)
Inventor(s)
Harald Gustafsson of Lund (SE)
ARTIFICIAL INTELLIGENCE BASED COGNITIVE TEST SCRIPT GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240241817 titled 'ARTIFICIAL INTELLIGENCE BASED COGNITIVE TEST SCRIPT GENERATION
The abstract describes a method of testing a network node in a communication system by using natural language requirement specifications to select test case specifications from a library, extracting textual features from the test cases, generating a feature vector, and mapping it to available test scripts for execution.
- Natural language requirement specifications are used to describe testing requirements for a network node.
- Test case specifications are selected based on the natural language requirements from a library of test cases.
- Textual features are extracted from the selected test case specifications.
- A feature vector is generated from the extracted textual features.
- The feature vector is mapped to available test scripts for execution.
- Confidence scores are generated to measure the association of the test case specification with the selected test script.
Potential Applications: - Testing network nodes in communication systems efficiently and accurately. - Automating the process of selecting and executing test cases based on natural language requirements.
Problems Solved: - Streamlining the testing process for network nodes. - Enhancing the accuracy of test case selection based on natural language requirements.
Benefits: - Improved efficiency in testing network nodes. - Increased accuracy in selecting appropriate test cases. - Reduction in manual effort required for testing procedures.
Commercial Applications: "Automated Network Node Testing Method" can be utilized by telecommunications companies, network equipment manufacturers, and software development firms to enhance the quality and reliability of their products. This technology can streamline testing processes, reduce errors, and improve overall product performance, leading to increased customer satisfaction and market competitiveness.
Questions about Automated Network Node Testing Method: 1. How does this method improve the efficiency of testing network nodes? 2. What are the key benefits of using natural language requirement specifications in selecting test cases?
Original Abstract Submitted
a method of testing a network node in a communication system includes obtaining a natural language requirement specification that describes a testing requirement associated with the network node, and selecting one or more test case specifications from a library of test case specifications based on the natural language requirement specification. the method includes extracting textual features from the test case specifications, generating a feature vector including the extracted textual features from the test case specifications, and mapping the feature vector to a plurality of available test scripts. one or more of the plurality of available test scripts are selected for execution in response to the mapping of the feature vector, and for one or more of the selected test scripts, a confidence score is generated that measures a confidence of an association of the test case specification with the selected test script. related systems are also disclosed.
