Revolutionizing Software Testing: The Impact of AI, ML, and IoT

Abstract

Software testing is a critical aspect of the software development lifecycle, ensuring the functionality and user-acceptability of software applications. This paper provides a detailed review of software testing, highlighting its significance, various methodologies, challenges, and the influence of emerging technologies like Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT). The role of ongoing research in advancing software testing to bolster software quality and reliability is underscored in this study. Software testing encompasses a wide range of activities within the software development lifecycle and is crucial in evaluating the functional and non-functional properties of software, aiding in the identification and remediation of operational deficiencies. The increasing complexity and diversity of software pose considerable challenges to devising effective testing strategies and tools. In this paper, we delve into promising software testing technologies and go beyond the core principles of software testing, exploring innovative test case creation methodologies, and shedding light on the pressing issues within the testing process and its place in modern development protocols. We also explore the testing solutions tailored to the unique requirements of rapidly evolving application domains.

Keywords

Software Testing, Artificial Intelligence, Machine Learning, Internet of Things, Test Automation