Oracle International Corporation

Infosys Limited

Anurag Singh

Nitin Jain

Sourav Mukherjee

Amit Bhalla

Aawardhan Logandan

Ashok Gopinath

Macks Singh Ningombam

Saurabh Kumar

Vinita Jaiswal

Jagannatha Reddy Kanchamreddy

Embodiments predict errors using database validation rules. Validation rules can be defined that include business logic for validating transactions performed on a database with a data model. Transactions can be performed using the database, where the database is in a post-transaction state after performance of the transactions. The database can be validated in the post-transaction state by performing the defined business logic for a subset of validation rules, where at least one validation rule fails to validate. Using a trained machine learning model, one or more errors for one or more future transactions can be predicted, the predicted errors being based on the at least one failed validation rule.

Error prediction using database validation rules and machine learning

The present invention describes a method of dynamic gamification over a network and comprises of the steps of creating a network of statistical models associated with a real life situation by using a processor, modifying a predefined parameter of a first statistical model by either a player or a moderator which triggers a modification subsequently in the other statistical models related to the first statistical model and deciding an outcome of the gamification in response to the modification of the first and the other statistical models.

Method system and computer readable medium for dynamic gamification over a network

A computer ('patch analysis computer') retrieves from a website, metadata describing one or more patch files to be used to change software in one or more computers ('target computers'). Prior to installation of the patch files in a target computer, the patch analysis computer performs analysis on the patch files and on the target computer and on application of the patch files to the target computer. The analysis is based on the retrieved metadata and based on configuration data of the target computer. Subsequent to performing the analysis, the management computer displays a report resulting from the analysis including one or more operations to fix issues found during analysis, and receives input from a human on specific patch files and operations. In response to receipt of human input, the patch analysis computer performs operations approved by the human and applies the patch files to the target computer.

Change analysis on enterprise systems prior to deployment

Some embodiments of the present invention provide a system that maintains a software system. During operation, the system obtains a compliance policy for the software system and monitors the software system for a violation of the compliance policy. If such a violation is detected, the system retrieves a change package associated with the violation based on the compliance policy and automatically deploys the change package to the software system to resolve the violation.

Automated compliance policy enforcement in software systems

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Bengaluru, India

Anurag Singh