Abstract: A method and a system are described for generation of test automation scripts in real time. The method includes scanning a plurality of properties associated with objects within a user interface of an application under test. The method includes comparing the properties with a pre-stored object library. The pre-stored object library comprises metadata of pre-stored properties of the application under test. This includes identifying the updated properties associated with one or more objects from the plurality of objects based on the comparison of metadata of updated objects with the metadata of existing or pre-stored properties. This includes creating a unique XPATH reference for each of the one or more of objects based on the identified one or more updated properties. The method includes generating in real time one or more test automation scripts for each of the one or more of objects based on the unique XPATH reference.

Abstract: Systems and methods for performing unit testing are described. During code level testing of the software code, the software code is scanned and converted into compiled code which is received by the system. The system further converts back the compiled code into its source code which comprises several units of source. However, the system filters out only user-defined units of source code for testing. The system further identifies rules for the units of source to be tested. Further, based on the rules and content of the units of source code, the system determines expected parameters. Further, the system utilizes the expected parameters for generating test eases for units of source code. The test eases generated may be a. combination of positive and/or negative test case. This way, the system automatically generates the test .cases and performs unit testing by using the generated test cases.

Abstract: A method and a system are described for generation of test automation scripts in real time. The method includes scanning a plurality of properties associated with objects within a user interface of an application under test. The method includes comparing the properties with a pre-stored object library. The pre-stored object library comprises metadata of pre-stored properties of the application under test. This includes identifying the updated properties associated with one or more objects from the plurality of objects based on the comparison of metadata of updated objects with the metadata of existing or pre-stored properties. This includes creating a unique XPATH reference for each of the one or more of objects based on the identified one or more updated properties. The method includes generating in real time one or more test automation scripts for each of the one or more of objects based on the unique XPATH reference.

Abstract: Systems and methods for performing unit testing are described. During code level testing of the software code, the software code is scanned and converted into compiled code which is received by the system. The system further converts back the compiled code into its source code which comprises several units of source. However, the system filters out only user-defined units of source code for testing. The system further identifies rules for the units of source to be tested. Further, based on the rules and content of the units of source code, the system determines expected parameters. Further, the system utilizes the expected parameters for generating test cases for units of source code. The test cases generated may be a combination of positive and/or negative test case. This way, the system automatically generates the test cases and performs unit testing by using the generated test cases.

Abstract: Embodiments of the present disclosure disclose a method and a device for improving software performance testing. The method comprises receiving input data from one or more test management systems. The method further comprises identifying at least one behavior model based on the input data. The method further comprises correlating the at least one behavior model with at least one of affected parameters to determine one or more performance issues in the input data. The method further comprises verifying the one or more performance issues by reassessing the at least one behavior model.

Abstract: The present disclosure relates to a method for identifying root-cause of issues of software applications. The method comprises receiving one or more log files associated to software applications. The one or more log files are filtered to determine pattern of each log file of the one or more log files. One or more types of issues associated with each of the one or more log flies are determined based on the pattern of corresponding one or more log files. Trend of the one or more types of issues are estimated by comparing the one or more types of issues with historical data relating to corresponding pattern of log file. The root-cause of issues of the one or more software applications is identified based on at least one of the one or more types of issues and the trend of the one or more type of issues.

Abstract: Embodiments of the present disclosure disclose a method and a device for improving software performance testing. The method comprises receiving input data from one or more test management systems. The method further comprises identifying at least one behavior model based on the input data. The method further comprises correlating the at least one behavior model with at least one of affected parameters to determine one or more performance issues in the input data. The method further comprises verifying the one or more performance issues by reassessing the at least one behavior model.