International Business Machines Corporation

Kyndryl, Inc.

Raja Sreenivasan

John Kurian

Ramya Rajendiran

Thanmayi Mruthyunjaya

Thangadurai Muthusamy

Sakthimurugan Arumugam

Balasubramanian Manivasagam

Thomas Domin

Search elements are extracted from requirement definitions of a requirement management tool for managing a project. The search elements may be extracted using natural language processing. The search elements are used to identify source code from source code repositories. Machine learning correlates the requirement definitions to source code subject matter. The extracted source code is confirmed by a stakeholder of the requirement management tool.

Neural networks to identify source code

The present invention may include a method for automatic correction and migration of a plurality of bulk data. The method may identify sources, where the sources include the plurality of bulk data. The method may identify a subset of the bulk data, where the subset represents one or more records selected from the plurality of bulk data. The method may upload the subset to an enterprise application. The method may determine an error list from the enterprise application based on the uploaded subset. The method may roll back the subset from the enterprise application and based on the determined error list, the method may match one or more rules to a one or more errors in the error list.

Preview processing and automatic correction of bulk data for software as a service applications

Growing community of inventors

Bengaluru, India

Raja Sreenivasan