Amdocs Development Limited

Amdocs Software Systems Limited

Gilli Shama

Yaniv Avrashi

Gil Rosen

Vivi Miranda

Pavel Vodolazov

Amir Lapid

Eytan Kabilou

Ilan Levy

Meni Kadosh

Sagar Subhash Surana

Nadeem Azaizah

Ravit Shapira

Yaron Weiss

Anatoli Kliner

Irit Shamir

Uri Weissler

Adi Fledel Alon

As described herein, a system, method, and computer program are provided for identifying foreign keys between distinct tables based on a statistical analysis of table values. In use, a plurality of candidate field combinations are determined between a first table and a second table. A statistical analysis of values stored in fields of each candidate field combination of the plurality of the candidate field combinations is performed. Foreign keys between the first table and the second table are identified, based on a result of the statistical analysis.

System, method, and computer program for identifying foreign keys between distinct tables

As described herein, a system, method, and computer program are provided for using metric valuations in anomaly scoring. In use, a score calculated for a metric used for anomaly detection is identified. Additionally, the score is weighted, based on a valuation defined for the metric, to form a weighted score. Further, at least one action is caused to be performed, based on the weighted score.

System, method, and computer program for using metric valuations in anomaly scoring

As described herein, a system, method, and computer program are provided for anomaly detection in time-series data with mixed seasonality. In use, time-series data of a mixed seasonality type is received. Additionally, the time-series data is segmented, by a defined unit of time, to form a plurality of time-series data segments. Further, the plurality of time-series data segments are processed to determine one or more patterns across the plurality of time-series data segments. Still yet, the one or more patterns are stored and used to perform pattern matching for an input time-series.

System, method, and computer program for anomaly detection in time-series data with mixed seasonality

As described herein, a machine learning system, method, and computer program provide marketing segmentation of residential spaces. In use, network usage data is collected from each residential network router of a plurality of residential network routers operating in a different residential space of a plurality of residential spaces. Additionally, the network usage data is processed by a machine learning algorithm to segment the plurality of residential spaces into a plurality of segments. Further, the plurality of segments are output.

Machine learning system, method, and computer program for household marketing segmentation

As described herein, a machine learning system, method, and computer program are provided for inferring user presence in a residential space. In use, network usage data is collected from a residential network router operating in a residential space. Additionally, the network usage data is processed by a machine learning algorithm to infer whether a user is present in the residential space. Further, the inference is output for performing one or more related actions.

Machine learning system, method, and computer program for inferring user presence in a residential space

As described herein, a system, method, and computer program are provided for generating insights from home network router data. In use, network usage/connection data is collected from a home network router operating in a residential space. Additionally, the network usage/connection data is processed to generate insights for the network usage/connection data. Further, the insights are output for display to one or more users.

System, method, and computer program for generating insights from home network router data

A system, method, and computer program product are provided for automated resolution of free-text incidents, based on machine learning. In operation, a system receives incident information from at least one IT service management (ITSM) system. The system reads the incident information including free text and classifies an incident associated with the incident information to at least one automation flow. The system generates robotic process automation (RPA) compatible information from the incident information by parsing parameters associated with the incident from text into required fields based on the at least one automation flow. Further, the system sends the generated RPA compatible information to the at least one ITSM system or at least one RPA system.

System, method, and computer program for automated resolution of free-text incidents, based on machine learning

A system, method, and computer program product are provided for efficiently automating software testing of business flows. In use, a business flow executed by a user is recorded by a testing system. The business flow is executed by the testing system utilizing a plurality of user selected parameters. Additionally, the recorded business flow is automatically parsed by the testing system into a plurality of activities associated with the business flow. Further, one or more existing automated activities in a test automation repository that correlate with one or more of the plurality of activities associated with the business flow are identified by the testing system (e.g. using a smart match algorithm). Moreover, an automated test for the business flow is generated by the testing system utilizing the one or more existing automated activities in the test automation repository. The automated test for the business flow is capable of utilizing a plurality of automatically selected parameters for testing the business flow.

System, method, and computer program for efficiently automating business flow testing

A system, method, and computer program product are provided for generating event tests associated with a testing project. In use, an indication of one or more event types is received for creating one or more events on which to perform event testing associated with at least one testing project. Additionally, an indication of one or more parameters associated with the one or more events on which to perform the event testing is received. Further, one or more event files are generated for testing the one or more events based on the one or more event types and the one or more parameters. In addition, the one or more event files are sent to one or more event processing systems for testing the one or more events, the testing of the one or more events including storing information associated with all faults resulting from the testing of the one or more events in a risky events repository that is capable of being utilized to generate testing rules for additional testing projects. Moreover, at least one report including information associated with a result of testing the one or more events is generated.

System, method, and computer program for generating event tests associated with a testing project

A system, method, and computer program product are provided for automating activities associated with a testing project. In use, design of a testing project is initiated. Additionally, one or more activities associated with the testing project in which to automate are identified based on criteria associated with the one or more activities. Further, the identified one or more activities are automated such that the one or more activities are performed automatically during performance of the testing project.

System, method, and computer program for automating activities associated with a testing project

A system, method, and computer program product are provided for recommending a number of test cases and effort to allocate to one or more business processes associated with a software testing project. In use, one or more business processes associated with a software testing project are identified. A business priority and customization level is set for each of the one or more business processes associated with the software testing project Additionally, a number of defects are estimated for each of the one or more business processes associated with the software testing project. Further, a quality level is determined for each of the one or more business processes associated with the User Acceptance Testing software testing project. In addition, a number of test cases to be executed to achieve the quality level is determined for each of the one or more business processes associated with the software testing project, the number of test cases to be executed to achieve the desired quality level being based, at least in part, on the estimated number of defects and the business priority. Furthermore, an effort analysis associated with one or more past software testing projects is identified. Moreover, an estimated effort is determined for each of the one or more business processes associated with the software testing project, the estimated effort being based, at least in part, on the number of test cases to be executed to achieve the quality level, the business priority, and the effort analysis of the one or more past software testing projects. Still yet, the estimated effort is displayed for at least one of the one or more business processes associated with the software testing project utilizing at least one interface.

System, method, and computer program for recommending a number of test cases and effort to allocate to one or more business processes associated with a software testing project

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Raanana, Israel

Gilli Shama