Hcl Technologies Limited

Hareendran M

Maheswari V S

Rajesh Babu Suraparaju

Shrwan Kumar

Vinod Kumar

Krishna Kumar Gopal

Rakesh Agrawala

The disclosure relates to method and system for identifying microservices in a monolith application. In an embodiment, the method may include classifying a Table of a plurality of Tables associated with a database of the monolith application as an aggregate root Table, and identifying one or more dependent-Tables associated with the aggregate root Table. The method may further include identifying one or more Functions associated with the aggregate root Table and each of the one or more dependent-Tables associated with the aggregate root Table, and generating a microservice by collating the aggregate root Table, the one or more dependent-Tables associated with the aggregate root Table, and the one or more Functions associated with the aggregate root Table and each of the one or more dependent-Tables associated with the aggregate root Table.

Method and system for identifying microservices in a monolith application

This disclosure relates to method and system for identifying common requirements from applications. The method includes receiving a plurality of requirements from a plurality of applications. For at least two of the plurality of requirements, the method further includes determining a similarity index through each of a set of analysis techniques. For at least two of the plurality of requirements, the method further includes calculating a final similarity index based on the similarity index determined through each of a set of analysis techniques. The method further includes generating a similarity matrix for the plurality of requirements based on the final similarity index. The method further includes generating a hierarchical cluster tree for the plurality of requirements based on the final similarity index corresponding to each of the plurality of requirements.

Method and system for identifying common requirements from applications

The present disclosure relates to systems and methods to generate a test suite for regression testing. The method may comprise comparing a set of current code blocks with a set of historical code blocks to identify a set of modified code blocks from the set of historical code blocks associated with a software application. Further, the set of modified code blocks may be analysed to determine type of modification associated with each modified code block. Further, the method may comprise determining a set of impacted code blocks from the set of modified code blocks based on analysis of the type of modification associated with each modified code block. Further, the method may comprise identifying and prioritizing a subset of test cases from a set of test cases based on analysis of the set of impacted code blocks, thereby generating a regression test suite for regression testing of the current build.

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Tamil Nadu, India

Hareendran M