Generative AI for Software Test Modelling with a focus on ERP Software
Anshumaan Garg, Dolly Sharma · 2023
Generative AI in this context refers to the type of artificial intelligence that can generate content or give new information based on patterns it has learned. In the case of software testing, it refers to the use of generative AI to model or for the creation of test scenarios, test cases or objects for ERP (Enterprise Resource Planning) software. The special focus on ERP software means that generative AI-based techniques have been particularly designed and optimized for the purpose of software testing. It does take into account the unique features and complexity of the ERP systems which allows for more effective and accurate testing. The problem with the existing chatbots is that they are not integrated with generative AI and the training is either not properly done or the data used for training is biased. The objective of this work is to develop a chatbot integrated with the generative AI-based framework and develop training data to cater to user needs. Methods and tools used in this approach are the OpenAI's API used for integrating chatbot with the generative AI-based software, Postman API has also been used to send and receive API requests and prompts and completions to be generated using Python code. The result of this approach is that a chatbot has been developed which develops test cases and scenarios, requests sent and received successfully and prompts and completions have been successfully generated using Python code. To state it simply, generative AI for software test modelling with a focus on ERP software means creating test cases and scenarios using AI and generating them automatically which helps testers ensure that the software is working correctly and meets the needs of the business operations.