Abstract: A method and device for automating testing based on context parsing across multiple technology layers is disclosed. The method includes clustering a plurality of test instructions into a plurality of technology groups based on an analysis of the plurality of test instructions. The method further includes creating an automation component for a set of test instructions in each of the plurality of technology groups, based on actions and objects in an associated set of test instructions. Further, the method includes identifying for each technology group a context information to be passed from an automation component associated with a technology layer to a downstream automation component associated with a succeeding technology layer, based on Natural Language Processing of the plurality of test instructions, and executing testing of the application based on the automation component and the associated context information.

Abstract: The present disclosure relates to a method and system for generating and transforming test data. The one embodiment, a user query is received in natural language and parsed to generate keywords using lemmatization. Based on the generated keywords and filter conditions in the user query, a data source specific executable query suitable for data sources is generated and executed against each data source to generate test data. The method determines if there are any missing test data in the generated test data and creates missing test data based on the data type, number of records required. The method also automatically transforms the generated test data into corresponding test data suitable to the requirements of a target system. Thus, the system generates test data specific to different data sources based on query provided in natural language and transforms the generated test data to comply with the requirements of the target system.

Abstract: A method and device for automating testing based on context parsing across multiple technology layers is disclosed. The method includes clustering a plurality of test instructions into a plurality of technology groups based on an analysis of the plurality of test instructions. The method further includes creating an automation component for a set of test instructions in each of the plurality of technology groups, based on actions and objects in an associated set of test instructions. Further, the method includes identifying for each technology group a context information to be passed from an automation component associated with a technology layer to a downstream automation component associated with a succeeding technology layer, based on Natural Language Processing of the plurality of test instructions, and executing testing of the application based on the automation component and the associated context information.

Abstract: The present disclosure relates to a method for generating test strategy for a software application. The test strategy generation system receives a plurality of parameters from internal and external data sources and determines one or more behavioral patterns for the plurality of parameters of the external data sources. The test strategy generation system calculates a score for the plurality of parameters of external and internal data sources based on a corresponding weightage value and one or more behavioral patterns and compares an aggregate score with corresponding threshold weightage value for the plurality of parameters. The test strategy generation system generates test strategy parameters based on the comparison and filters a set of test cases for the plurality of parameters from the plurality of test cases based on the test strategy parameters.

Abstract: The present disclosure relates to a method and system for generating and transforming test data. In one embodiment, a user query is received in natural language and parsed to generate keywords using lemmatization. Based on the generated keywords and filter conditions in the user query, a data source specific executable query suitable for data sources is generated and executed against each data source to generate test data. The method determines if there are any missing test data in the generated test data and creates missing test data based on the data type, number of records required. The method also automatically transforms the generated test data into corresponding test data suitable to the requirements of a target system. Thus, the system generates test data specific to different data sources based on query provided in natural language and transforms the generated test data to comply with the requirements of the target system.

Abstract: This disclosure relates to generating integrates test scenarios. The method includes creating a test process model comprising a plurality of processes and one or more interaction paths amongst the plurality of processes based on business process information; identifying a plurality of test scenarios based on an analysis of the plurality of processes and the one or more interaction paths amongst the plurality of processes, wherein each of the plurality of test scenarios comprises a unique process flow path; determining a risk weight and a criticality weight associated with each of the plurality of test scenarios; and identifying at least one test scenario from the plurality of test scenarios based on a comparison of the risk weight and the criticality weight determined for each of the plurality of test scenarios with an associated threshold weight.

Abstract: This disclosure relates to generating integrates test scenarios. The method includes creating a test process model comprising a plurality of processes and one or more interaction paths amongst the plurality of processes based on business process information; identifying a plurality of test scenarios based on an analysis of the plurality of processes and the one or more interaction paths amongst the plurality of processes, wherein each of the plurality of test scenarios comprises a unique process flow path; determining a risk weight and a criticality weight associated with each of the plurality of test scenarios; and identifying at least one test scenario from the plurality of test scenarios based on a comparison of the risk weight and the criticality weight determined for each of the plurality of test scenarios with an associated threshold weight.

Abstract: The present disclosure relates to a method for generating test strategy for a software application. The test strategy generation system receives a plurality of parameters from internal and external data sources and determines one or more behavioural patterns for the plurality of parameters of the external data sources. The test strategy generation system calculates a score for the plurality of parameters of external and internal data sources based on a corresponding weightage value and one or more behavioural patterns and compares an aggregate score with corresponding threshold weightage value for the plurality of parameters. The test strategy generation system generates test strategy parameters based on the comparison and filters a set of test cases for the plurality of parameters from the plurality of test cases based on the test strategy parameters.