The integration of emerging technologies, such as artificial intelligence (AI), machine learning (ML), and blockchain, in software development enhance the potential of software systems. For organizations, this can impact the efficiency of processes, automating their systems and increasing their cyber resilience. As a result, they have the ability to revolutionize healthcare systems, security systems, communication systems, and more. These emerging technologies, thus, may improve human-computer interaction and enhance information security for users. Modern Insights on Smart and Secure Software Development provides some best practices for creating intelligent and secure software applications. It explores the latest methodologies, tools, and techniques for integrating smart features and robust security measures into software projects. Covering topics such as vulnerability management, regression test selection approaches, and deep neural networks (DNNs), this book is an excellent resource for software developers, cybersecurity professionals, computer engineers, professionals, researchers, scholars, academicians, and more.

About the Author

Qasem Abu Al-Haija received his Ph.D. from Tennessee State University (TSU), USA, in 2020. He is an Assistant Professor at the Department of Cybersecurity, Faculty of Computer & Information Technology, Jordan University of Science and Technology, Irbid, Jordan. He authorizes more than 100 scientific research papers and book chapters. His research interests include Artificial Intelligence (AI), Cybersecurity and Cryptography, the Internet of Things (IoT), Cyber-Physical Systems (CPS), Time Series Analysis (TSA), and Computer Arithmetic. Recently, he was listed as one of the world's top 2% of scientists list released publicly by Stanford University and Elsevier Publisher.

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