	US 12,278,751 B2
	Test script generation from test specifications using natural language processing
Sahar Tahvili, Upplands Väsby (SE); Alzahraa Salman, Skärholmen (SE); Cristina Landin, Kumla (SE); and Vincent Huang, Sollentuna (SE)
Assigned to Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
Appl. No. 18/020,127
Filed by Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
PCT Filed Aug. 7, 2020, PCT No. PCT/EP2020/072324 § 371(c)(1), (2) Date Feb. 7, 2023, PCT Pub. No. WO2022/028721, PCT Pub. Date Feb. 10, 2022.
Prior Publication US 2023/0308381 A1, Sep. 28, 2023
Int. Cl. G06F 11/36 (2006.01); G06F 11/3668 (2025.01); H04L 41/16 (2022.01); H04L 43/50 (2022.01); H04W 24/00 (2009.01)

CPC H04L 43/50 (2013.01) [G06F 11/3664 (2013.01); G06F 11/3684 (2013.01); H04L 41/16 (2013.01); H04W 24/00 (2013.01)]

20 Claims

1. A method of testing a network node in a communication system, comprising:

obtaining a test case specification that describes a test scenario associated with the network node;

extracting textual features from the test case specification;

generating a feature vector comprising the extracted textual features from the test case specification;

mapping the feature vector to a plurality of available test scripts;

generating a plurality of augmented feature vectors from the feature vector, wherein the plurality of augmented feature vectors are generated as subsets of the feature vector;

training a classifier that is used to map the feature vector to the plurality of available test scripts using the plurality of augmented feature vectors;

selecting one or more of the plurality of available test scripts for execution in response to the mapping of the feature vector; and

for one or more of the selected test scripts, generating a confidence score that measures a confidence of an association of the test case specification with the selected test script.