Abstract: A system and a method for optimizing software quality assurance during various phases of Software Development Process (SDP) is provided. In particular, the present invention provides for generating machine learning (ML) models corresponding to respective phases of the SDP based on historical data. Further, each of the generated ML models associated with respective phases of the SDP are configured with a set of parameters. Furthermore, a model configuration corresponding to each phase of SDP is identified by executing configured models on the historical data and a set of predefined result-parameters is analyzed. Yet further, quality assurance events are optimized by analyzing real-time data associated with respective phases of SDP using the identified model configuration corresponding to respective phases.