Infosys Limited

Arulkumar Gopalan

Sudipto Shankar Dasgupta

Mayoor Rao

Swaminathan Natarajan

Sameer Mahadeo Kolhatkar

Navin Budhiraja

A method and system of a data join includes capture of metadata information associated with one of semi-structured data and unstructured data. A flattened structure for one of the semi-structured data and the unstructured data is defined, and an entity is extracted from the unstructured data. Further, one of the semi-structured data and an entity extracted unstructured data are flattened based on the flattened structure, and flattened semi-structured data and flattened entity extracted unstructured data with relational data are joined.

System and method of data join and metadata configuration

A method and system support dynamic impact analysis of at least one change to at least one functional component of a computer application comprising tracking a historical record of the at least one change, grouping a release dataset and a build dataset for matching with at least one requirement from a requirement data file, generating a plurality of impact records datasets () and identifying a nature of change. Further, a plurality of build specific data sets () can be generated based on a text corpus () related to the at least one change and classifying at least one description based on the nature of change. Further an impact matrix () is generated for predicting a potential impact to the at least one test case based on the at least one of a probability of change or a probability of failure.

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Namakkal, India

Arulkumar Gopalan