Abstract: Provided is a method and system (108) for building and leveraging a knowledge fabric (110) in a Software Development Lifecycle (SDLC). A plurality of SDLC artifacts are received from a plurality of heterogeneous data sources (102). The plurality of SDLC artifacts are then correlated to build an end-to-end correlation and are clustered to generate an SDLC knowledge fabric (110). This includes extracting semantic and contextual data from the plurality of SDLC artifacts using Natural Language Processing (NLP) and deep text analytics and transforming the extracted semantic and contextual data to knowledge graphs. One or more actionable items (112) are then derived using the SDLC knowledge fabric (110) and the one or more actionable items (112) are used to improve overall process efficiency and accelerate software delivery in the SDLC.

Abstract: The invention relates to a system (300) and method for performing end-to-end simulation and testing of an IoT application (102). An IoT data simulator (310) is configured to simulate an IoT environment using data received from different components in the IoT environment, which include IoT messages/data from IoT devices (106), master data from different databases (108) and data from third-party web services (110). Device templates are created that are used as blueprint for defining a plurality of device instances which include simulated device instances and live device instances. An IoT application validator (326) is configured for testing and validating the IoT application (102) by transmitting a plurality of IoT messages to the IoT application (102) and validating the behavior of the IoT application (102) to the plurality of IoT messages for all layers including, but not limited to, a UI layer (112), a business logic (114) and a data layer (116), using one or more device instances.

Abstract: The invention relates to a system (300) and method for performing end-to-end simulation and testing of an IoT application (102). An IoT data simulator (310) is configured to simulate an IoT environment using data received from different components in the IoT environment, which include IoT messages/data from IoT devices (106), master data from different databases (108) and data from third-party web services (110). Device templates are created that are used as blueprint for defining a plurality of device instances which include simulated device instances and live device instances. An IoT application validator (326) is configured for testing and validating the IoT application (102) by transmitting a plurality of IoT messages to the IoT application (102) and validating the behavior of the IoT application (102) to the plurality of IoT messages for all layers including, but not limited to, a UI layer (112), a business logic (114) and a data layer (116), using one or more device instances.

Abstract: The present invention generally relates to a real time analytical method and particularly relates to a method for digitally accumulating a consumer experience and analyse the collected data to provide a plurality of suggestion for improving a consumer experience on a target software. The present method allows a consumer oriented data acquisition and analytics in a short time span thus easing a client to optimize their digital platform and enhance the consumer experience. The present invention analyses a plurality of major parameters such as discoverability, accessibility, performance, omni-channel and perception and a plurality of minor parameters for providing analytics.