MACHINE-LEARNING BASED SOFTWARE TESTING TECHNIQUE

A technique of training a model for determining a test case for software testing is presented, wherein the software testing is based on a set of test cases built for a set of software modules comprised by a software to be tested. The technique uses artificial intelligence and comprises obtaining log...

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Bibliographic Details
Main Authors Hermanns, Nikolas, Sedra, Magued, Palaios, Alexandros, Beschorner, Sarah, Roy Chowdhury, Sujata
Format Patent
LanguageEnglish
Published 24.08.2023
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A technique of training a model for determining a test case for software testing is presented, wherein the software testing is based on a set of test cases built for a set of software modules comprised by a software to be tested. The technique uses artificial intelligence and comprises obtaining log information resulting from execution of each of the test cases, wherein the log information is obtained per software module and per executed test case, and performing supervised machine learning based on the log information obtained per software module and per executed test case as input to train a model for predicting the executed test case.
Bibliography:Application Number: US202018007246