This article explores the benefits and challenges of using Natural Language Processing (NLP) in software testing, focusing on automating test case creation and documentation. It discusses the key NLP techniques used in this area, real-world applications, and the future of NLP in software testing. NLP is an interdisciplinary field that combines computer science, linguistics, and artificial intelligence to enable computers to understand, interpret, and generate human language. Rule-based and statistical-based approaches are the two main categories of NLP techniques. The manual approach to software testing is becoming increasingly difficult due to the complexity of modern software applications, making NLP a promising solution for automating test case creation and documentation.
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