Amdocs Development Limited

Itsik David

Limor Gueta

Yossi Bitton

Sharon Elgarat

Yasmin Bel Klein

Dror Avrilingi

Ighal Szyk

Ohad Mezner

Erez Shacham

As described herein, a system, method, and computer program are provided for test-related automatic tracing. A new requirement defined for an application is identified. The new requirement is processed, using a machine learning model, to predict each portion of the new requirement covered by existing test features. One or more new test features are caused to be created for the new requirement, based on the prediction of each portion of the new requirement covered by existing test features.

System, method, and computer program for test-related automatic tracing

As described herein, a system, method, and computer program are provided for defect resolution. Information associated with a defect detected in a computer system is received. The information is processed, using a first machine learning model, to predict a source of the defect. The information and the source of the defect are processed, using a second machine learning model, to predict one or more parameters for handling the defect. One or more actions are caused to be performed to resolve the defect, based on the predicted one or more parameters for handling the defect.

System, method, and computer program for defect resolution

As described herein, a system, method, and computer program are provided for orchestrating automatic software testing. In use, an interface to a plurality of different testing tools is provided, where each testing tool of the plurality of different testing tools usable for performing one or more testing-related tasks. Additionally, information describing a software project is identified. Further, use of the plurality of different testing tools is orchestrated to provide automated testing for the software project.

System, method, and computer program for orchestrating automatic software testing

A system, method, and computer program product are provided for identifying tests to automate in a software testing project. In operation, a request for a recommendation for at least one test to automate in a software testing project including a plurality of tests is received. Additionally, a plurality of parameters associated with the software testing project are identified to identify the at least one test to automate. Further, the at least one test to automate is identified from the plurality of tests associated with the software testing project, based on the plurality of parameters. Moreover, the at least one test to automate is presented as the recommendation utilizing at least one user interface.

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Modiin, Israel

Itsik David