Modern Insights on Smart and Secure Software Development

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Bol 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.

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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.


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