DEDUPLICATION OF COMPUTER PROGRAMS USING SIMILARITY MEASURES AND ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20250045043A1

    公开(公告)日:2025-02-06

    申请号:US18229915

    申请日:2023-08-03

    Applicant: SAP SE

    Abstract: Various embodiments for deduplication of APIs using similarity measures and artificial intelligence are described herein. An embodiment operates by receiving a request to compare a first computing program to a second computing program, wherein each computing program includes an address, one or more tables accessed by a respective computing program, one or more input parameters, and one or more output parameters. Similarity measures are calculated between the addresses, tables, input parameters, and output parameters of the two computing programs. The similarity measures are provided to a trained artificial intelligence (AI) model, which generates a similarity determination. Performed an action based on the similarity determination.

    SYSTEM TO FACILITATE TRANSITION TO MICROSERVICES

    公开(公告)号:US20220365832A1

    公开(公告)日:2022-11-17

    申请号:US17318500

    申请日:2021-05-12

    Applicant: SAP SE

    Abstract: Systems and methods provide reception of a call to a first function, determination of a first configuration file associated with the first function, the first configuration file indicating a primary function, a secondary function and a relationship between a first property of the primary function and a second property of the secondary function, calling of the primary function and reception of a corresponding first result set, calling of the secondary function, the call to the secondary function including a filter on the second property based on values of the first result set associated with the first property, reception of a second result set corresponding to the call to the secondary function, generation of a composed result set based on the first result set, the second result set, and the relationship, and return of the composed result set in response to the call to the first function.

    SYSTEMS AND METHODS FOR REQUEST GOVERNANCE IN MULTI-TENANCY CLOUD ARCHITECTURE

    公开(公告)号:US20250150437A1

    公开(公告)日:2025-05-08

    申请号:US18501383

    申请日:2023-11-03

    Applicant: SAP SE

    Abstract: According to some embodiments, methods and systems may provide request governance in a multi-tenancy cloud computing environment of an enterprise. A default cluster and a quarantine cluster may each execute application servers, and an automated quarantine enterprise configuration may store automatically managed tenant identifiers. An automated quarantine manager may automatically determine which tenant identifiers are stored in the automated quarantine enterprise configuration (e.g., based on a dynamic sliding time window). The automated quarantine manager may receive a tenant request from a client and arrange for the received tenant request to be executed by an application server in either the default cluster or the quarantine cluster in accordance with an associated tenant identifier in the automated quarantine enterprise configuration.

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