Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed is a system for automatically generating a plurality of test cases for an IT enabled application. The system captures information including a plurality of labels, a plurality of test datasets and a plurality of actions performed by a user on each of a plurality of DOM elements. The system further analyzes the information in order to categorize the information into a plurality of parameters associated to each DOM element. The system further maps an action performed by the user, on a DOM element of the plurality of DOM elements, a label and a test dataset with the DOM element. The system further retrieves one or more keywords mapped to the label in a pre-configured keyword repository. The system further generates a test case based on the one or more keywords, the label, the test dataset and the action performed by the user on the DOM element.

Abstract: The invention relates to a method and system for data centre infrastructure management and, more particularly, to analyze and deploy interrelated objects in a virtual data centre at virtual deployment level. The present system monitors and identifies different elements of source virtual deployment such as configuration data, settings and so on which are scattered at different levels. Further, the system performs analysis based on various parameters such as virtual deployment performance data, past history data, future requirement and policy based data in order to identify best suitable target virtual data centre. After identifying best suited target virtual data centre, system triggers a redeployment request. Finally, system performs the redeployment of source virtual deployment to identified target virtual data centre.