Amdocs Development Limited

Yasmin Bel Klein

Dror Avrilingi

Itsik David

Ighal Szyk

Yossi Bitton

Prashant Vijay Sonawale

Amit Singh

A system, method, and computer program are provided for unattended test execution based on impacted application code. A change made to an application is detected. One or more features of the application impacted by the change made to the application are determined. A plurality of existing tests associated with the one or more features of the application impacted by the change made to the application are identified. A probability of each existing test in the plurality of existing tests exposing a defect in the application is predicted. At least a portion of the plurality of existing tests are executed for the application in an order that based on the predicted probabilities.

System, method, and computer program for unattended test execution based on impacted application code

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 automated API regression testing with a business flow sense/customer journey. In operation, a system identifies one or more environments for which to perform one or more testing activities. The system discovers an application programming interface (API) architecture associated with the one or more environments by tracing all unique combinations of business flows and/or customer journeys on production and discovering all API paths for each of the business flows. The system stores and categorizes information associated with the API architecture in at least one API dictionary, based on the machine learning. The system automatically recommends relevant API test cases associated with the API architecture for performing API testing on the one or more environments, using the information associated with the API architecture from the API dictionary as a reference.

System, method, and computer program for automated application programming interface (API) regression testing

A system, method, and computer program product are provided for production driven testing. In operation, a system discovers production data associated with at least one project. The system designs optimized test scenarios utilizing the production data for a scoping phase, a development phase, and a testing phase associated with the at least one project. The system prioritizes tests associated with the optimized test scenarios based on the production data, test history, and development activities. Further, the system automatically executes the tests using the production data on a staging framework associated with the system. The system monitors the execution of the tests, including monitoring progress and production coverage associated with the at least one project. Moreover, the system outputs production based feedback and testing scope optimization information resulting from monitoring the execution of the tests.

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Beit Kama, Israel

Yasmin Bel Klein