Method and system for automated testing of human machine interface (HMI) applications associated with vehicles

An automation testing tool for testing Human Machine Interface (HMI) applications associated with vehicles, comprising:

• a processor;
• and
• a memory, communicatively coupled with the processor, for storing processor executable instructions, which, on execution, causes the processor to:
• identify at least one vehicle from a plurality of vehicles and a HMI application installed on an electronic device corresponding to the at least one vehicle, based on one or more inputs, wherein the HMI application comprises a plurality of features and one or more additional features being integrated with the HMI application, for controlling one or more functions of the at least one vehicle, wherein identifying the at least one vehicle as HMI enabled is performed using one or more machine learning techniques;
• identify, in real-time, one or more errors in the one or more additional features being integrated with the HMI application, wherein the one or more errors are eliminated to enable integration the one or more additional features with the HMI application;
• generate test data based on one or more test scripts related to the one or more additional features and historical test analysis of the HMI application corresponding to the plurality of vehicles, wherein the test data is input to the HMI application;
• and
• executing the one or more test scripts on the HMI application based on the test data for automated testing of Human Machine Interface (HMI) applications associated with vehicles.

A non-transitory computer readable medium including instructions stored thereon that when processed by at least one processor cause a device to perform operations comprising:

• identifying at least one vehicle from a plurality of vehicles as HMI enabled vehicle, and a HMI application installed on an electronic device corresponding to the at least one vehicle, based on one or more inputs, wherein the HMI application comprises a plurality of features and one or more additional features being integrated with the HMI application for controlling one or more functions of the at least one vehicle, wherein identifying the at least one vehicle as HMI enabled is performed using one or more machine learning techniques;
• identifying in real-time, one or more errors in the one or more additional features being integrated with the HMI application, wherein the one or more errors are eliminated to enable integration of the one or more additional features with the HMI application;
• generating test data based on one or more test scripts related to the one or more additional features and historical test analysis of the HMI application corresponding to the plurality of vehicles, wherein the test data is input to the HMI application;
• and
• executing the one or more test scripts on the HMI application based on the test data for automated testing of Human Machine Interface (HMI) applications associated with vehicles.