Auto Generate Test Cases Using Model Driven Architecture

Computer Engineering

Automatic Test Case Generation (ATCG) plays a pivotal role in ensuring software quality and reliability. This paper presents an innovative approach that leverages Model-Driven Architecture (MDA) and Natural Language Processing (NLP) to automate the process of generating test cases. MDA provides a structured foundation for creating models at various levels of abstraction, while NLP facilitates the transformation of natural language requirements into machine-readable models. The proposed method focuses on analyzing textual requirements, extracting key information, and transforming it into models, which are then used to automatically generate comprehensive test cases. This approach aims to enhance test coverage, reduce manual effort, and improve the alignment between test cases and original requirements. We discuss the advantages, challenges, and potential applications of this model-driven, NLP-based ATCG approach, offering a promising direction for advancing software testing practices in the ever-evolving landscape of software development.

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