Entit Software LLC

Micro Focus Lcc

Tomer Priel

Eli Mordechai

Ira Cohen

Adi Kidron

Michael Jason Schmitt

Emil Kiner

Eitan Katz

Karen Cohen

Guy Wiener

A technique includes receiving data representing an output of a security scan of an application and an audit of the security scan by a human auditor. The output represents a security issue with the application, which is identified by the security scan, and the audit represents an analysis of the security issue by the human auditor. The technique includes training a security scan classifier to learn a classification preference of the human auditor. Training the security scan classifier includes, processing the data in a processor-based machine to, based at least in part on the output of the security scan and the analysis of the security scan by the human auditor, learn the classification preference of the human auditor to the issue to build a classification model for the issue.

Training a security scan classifier to learn an issue preference of a human auditor

Extending a feature includes receiving a feature extension request from a first device identifying a feature not natively available to the first device. From a pool of registered devices, a second device offering the requested feature is identified. A communication link via which the requested feature can be extended to the first device is initiated. The extending of the requested feature from the second device to the first device is facilitated.

Extending features of one device to another

A method includes receiving, by a computer, input from a client device. The input is indicative of a software environment for software to be developed by a user. The method further includes analyzing, by the computer, the received input against a knowledge base to generate a technology recommendation for the user to use to develop the software. The method also includes providing, by the computer, the technology recommendation to the client device.

Technology recommendation for software environment

In one example of the disclosure, data indicative of a word or phrase communicated during a meeting including a plurality of participants is obtained. For each participant, records electronically accessible to the participant are identified, and each record is associated with a tier from a hierarchy of record-relevancy tiers. A set of explanations for the communication and associated scores is identified, including for each participant, beginning with a most relevant tier, searching the records accessible to the participant tier by tier until an explanation is identified, and assigning a score to the explanation according to the tier associated with the record in which the explanation is found. A preferred explanation for the communication is determined based upon the scores, and a display of the preferred explanation is caused.

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Yehud, Israel

Tomer Priel