Accenture Global Solutions Limited

Chinmaya Ranjan Jena

Mallika Fernandes

Sunder Ranganathan Nochilur

Kishore P Durg

Mahesh Venkataraman

Kulkarni Girish

Srinatha Sreedhara Mulugund

Sivasankar Ramalingam

Jothi Gouthaman

Venugopal S Shenoy

Matthias Rasking

Sunder Nochilur Ranganathan

Jeffrey Steven Wilkinson

Swagatika Pati

Mahesh Venkata Raman

Chinmay Kumar Panda

Akash Murumkar

Michael A Ljung

Prashant Gurunathan

Girish R Kulkarni

Lalitha Yengaldas

Jeffrey S Wilkinson

A system and method that improves the efficiency and accuracy of template selection process by applying machine learning to perform natural language processing (NLP) to automatically interpret the intent of the test scenarios and to match the intent of the test scenarios to appropriate test template(s). The system and method can use keyphrases and part-of-speech (POS) tokens to accurately capture the intent of test scenarios and templates. The system and method can additionally use machine learning to perform NLP to identify information from the test scenario(s) that relates to fields in templates to automatically fill in fields in the selected test template(s). In situations where the processing of the test scenario(s) does not provide all of the information necessary to fill every field of a template, the system and method can use machine learning to perform NLP to automatically create and execute a search statement to find the missing information related to empty fields in an application database.

Intelligent software testing

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for performing autonomous self-healing of test scripts. One example process includes the actions of recording data that reflects user interactions with multiple user interface objects of a first user interface, and, for each interaction, generating a natural language statement that reflects an intent of the interaction with an associated user interface object. The process also includes storing the natural language statements in a test script, autonomously self-healing the test script for execution on a second user interface, and executing the autonomously self-healed test script on a second user interface.

Autonomous self-healing test automation

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a touchless testing platform employed to, for example, create automated testing scripts, sequence test cases, and implement determine defect solutions. In one aspect, a method includes the actions of receiving requirements documentation for an application through a user interface (UI), analyzing the requirements documentation to extract terminologies based on an entity term corpus; categorizing the extracted terminologies based on a corpus of known terms; generating a semantic graph from standardized statements constructed from the categorized extracted terminologies; generating a process flow map for the application by identifying processes of the application and a respective relationship between each process from the semantic graph; generating a test scenario map of test scenarios for the application from the process flow map and the semantic graph; and providing the test scenario map to a tester through the UI.

Test scenario and knowledge graph extractor

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a touchless testing platform employed to, for example, create automated testing scripts, sequence test cases, and implement determine defect solutions. In one aspect, a method includes the actions of receiving a log file that includes log records generated from a code base; processing the log file through a pattern mining algorithm to determine a usage pattern; generating a graphical representation based on an analysis of the usage pattern; processing the graphical representation through a machine learning algorithm to select a set of test cases from a plurality of test cases for the code base and to assign a priority value to each of the selected test cases; sequencing the set of test cases based on the priority values; and transmitting the sequenced set of test cases to a test execution engine.

Touchless testing platform

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an automated testing script generation system are disclosed. In one aspect, a method includes the actions of receiving a context file, a test scenario, and a selected automation tool selected through a user interface, the context file including an object map comprising objects that correlate to respective components of a display page, the test scenario describing a test case for the application involving an intended interaction with a component on the display page, correlating the intended interaction with the component with the corresponding object in the object map, processing the intended interaction and the corresponding object through an Artificial Intelligence (AI) model, determining a script template based, applying the script template to generate an automated testing script for the selected automating tool, and executing the automated testing script to test the function of the display page.

Generation of automated testing scripts by converting manual test cases

Growing community of inventors

Bengaluru, India

Chinmaya Ranjan Jena