Abstract: The invention provides an intelligent resiliency engineering module for investigating resiliency of a software application, wherein the module is configured to identify business transactions associated with the software application to determine observability scenarios and orchestrate chaos engineering in a target infrastructure. The intelligent resilience engineering module identifies chaos simulation scenarios and a target infrastructure for the software application, to inject the one or more chaos simulation scenarios to simulate and orchestrate chaos attacks and the business transaction in the target infrastructure. Based on the simulation and orchestration, a correlation module by leveraging Artificial Intelligence (AI) models, correlates infrastructure telemetry data with Software Development Lifecycle (SDLC) digital assets.

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 present invention provides a system and method for processing subscription related data, wherein a subscription document of an existing subscription is received by a server via a user device. The subscription document is processed to extract pre-determined parameters; and primary parameters are obtained from service provider servers and secondary parameters are obtained from third party servers. The pre-determined parameters are correlated with the primary parameters and the secondary parameters and a customized output is generated. The customized output may be a comparative analysis of particulars of the existing subscription and new subscriptions.

Abstract: The present invention provides a system and method for processing subscription related data, wherein a subscription document of an existing subscription is received by a server via a user device. The subscription document is processed to extract pre-determined parameters; and primary parameters are obtained from service provider servers and secondary parameters are obtained from third party servers. The pre-determined parameters are correlated with the primary parameters and the secondary parameters and a customized output is generated. The customized output may be a comparative analysis of particulars of the existing subscription and new subscriptions.