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Integrating the internet of things into software engineering practices [electronic book] / edited by D. Jeya Mala.

Contributor(s): Mala, D. Jeya, 1974- [editor].
Material type: materialTypeLabelBookSeries: Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series: Publisher: Hershey, PA : IGI Global, [2019]Copyright date: ©2019Description: online resource (xix, 293 pages) : illustrations (some color).Content type: text Media type: computer Carrier type: online resourceISBN: 9781522577904 (hardback); 9781522577928 (e-book).Subject(s): Internet of things | Software engineeringDDC classification: 004.678 Online resources: Access eBook
Contents:
A new process model for IoT-based software engineering -- Current trends in integrating the Internet of Things into software engineering practices -- Modelling and designing of IoT systems using UML diagrams -- Web based IoT application development -- Internet of Things testing framework, automation, challenges, solutions, and practices -- IoT functional testing using ULM use case diagrams -- Best practices -- Machine learning techniques for Internet of Things -- Current trends -- Social Internet of Things -- Smart pollution alert system using machine learning.
Holdings
Item type Current library Call number Status Notes
eBook MTU Online eBook 004.678 (Browse shelf(Opens below)) Available MTU Cork Module - INTR9021 Core reading
Total holds: 0

Enhanced descriptions from Syndetics:

To provide the necessary security and quality assurance activities into Internet of Things (IoT)-based software development, innovative engineering practices are vital. They must be given an even higher level of importance than most other events in the field.

Integrating the Internet of Things Into Software Engineering Practices provides research on the integration of IoT into the software development life cycle (SDLC) in terms of requirements management, analysis, design, coding, and testing, and provides security and quality assurance activities to IoT-based software development. The content within this publication covers agile software, language specification, and collaborative software and is designed for analysts, security experts, IoT software programmers, computer and software engineers, students, professionals, and researchers.

Includes bibliographical references and index.

A new process model for IoT-based software engineering -- Current trends in integrating the Internet of Things into software engineering practices -- Modelling and designing of IoT systems using UML diagrams -- Web based IoT application development -- Internet of Things testing framework, automation, challenges, solutions, and practices -- IoT functional testing using ULM use case diagrams -- Best practices -- Machine learning techniques for Internet of Things -- Current trends -- Social Internet of Things -- Smart pollution alert system using machine learning.

MTU Cork Module INTR 9021 - Core reading.

Electronic reproduction.: ProQuest LibCentral. Mode of access: World Wide Web.

Table of contents provided by Syndetics

  • 1 A New Process Model for IoT-Based Software Engineering (p. 1)
  • 2 Current Trends in Integrating the Internet of Things Into Software Engineering Practices (p. 14)
  • 3 Modelling and Designing of IoT Systems Using UML Diagrams: An Introduction (p. 36)
  • 4 Web-Based IoT Application Development (p. 62)
  • 5 Internet of Things Testing Framework, Automation, Challenges, Solutions and Practices: A Connected Approach for IoT Applications (p. 87)
  • 6 IoT Functional Testing Using UML Use Case Diagrams: IoT in Testing (p. 125)
  • 7 Best Practices: Adopting Security Into the Software Development Process for IoT Applications (p. 146)
  • 8 Machine Learning Techniques for Internet of Things (p. 160)
  • 9 Current Trends: Machine Learning and AI in IoT (p. 181)
  • 10 Social Internet of Things (p. 199)
  • 11 Smart Pollution Alert System Using Machine Learning (p. 219)