Integrating the Internet of Things Into Software Engineering Practices

Connected devices bring software engineering challenges that extend well beyond writing code: teams must consider requirements, design, testing, security, data, and the continuing life of systems in the field. Integrating the Internet of Things Into Software Engineering Practices gathers research on adapting the software development life cycle (SDLC) to those demands.

Edited by D. Jeya Mala, this collection moves from process models and system design to testing, security, machine learning, and applications. Its chapters offer a research-oriented view of how established engineering practices can be applied to the varied components and risks of IoT systems.

Engineering across the IoT life cycle

The collection considers IoT development from requirements and design through coding, deployment, and testing. Topics include an IoT-focused process model, UML-based system modelling, and web-based application development. Together, these perspectives help frame IoT not as a device alone, but as a software-intensive system with connected parts and interdependent development concerns.

Testing and security in connected systems

Several chapters focus on evaluating IoT systems and building security into development practice. Readers will encounter IoT testing frameworks, test-case generation from UML use cases, and approaches to secure software development. The book also addresses vulnerability, risk, robustness, and quality assurance—issues that matter when software interacts with connected devices and handles data.

Machine learning, social IoT, and applications

Further chapters explore machine learning and AI in IoT, the Social Internet of Things and its possible architecture, and a mobile pollution-alert application using machine learning. Case material also includes UML modelling for a remote patient health-monitoring system. These examples connect engineering methods with practical IoT contexts.

Who may find this collection useful?

Analysts, security specialists, IoT programmers, software and computer engineers, students, professionals, and researchers may find relevant material here. The book is especially suited to readers interested in the intersection of software engineering, connected systems, testing, and security.

For a structured look at the methods and concerns shaping IoT software development, this collection brings a broad set of research topics into one volume.