The rapid growth of technology has led to an increased demand for efficient and effective software testing methods. One of the most promising advancements in this field is the integration of Natural Language Processing (NLP) techniques. NLP, a subset of artificial intelligence (AI), is focused on the interaction between computers and humans through natural language. In the context of software testing, NLP offers the potential to automate test case creation and documentation, ultimately reducing the time, effort, and costs associated with manual testing processes.
This article explores the benefits and challenges of using NLP in software testing, focusing on automating test case creation and documentation. We will discuss the key NLP techniques used in this area, real-world applications, and the future of NLP in software testing.