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Integrating the internet of things i...
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Mala, D. Jeya, (1974-)
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Integrating the internet of things into software engineering practices
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Integrating the internet of things into software engineering practices/ D. Jeya Mala, editor.
其他作者:
Mala, D. Jeya,
出版者:
Hershey, Pennsylvania :IGI Global, : [2019],
面頁冊數:
1 online resource (xix, 293 p.)
內容註:
Chapter 1. A new process model for IoT-based software engineering -- Chapter 2. Current trends in integrating the internet of things into software engineering practices -- Chapter 3. Modelling and designing of IoT systems using UML diagrams: an introduction -- Chapter 4. Web-based IoT application development -- Chapter 5. Internet of things testing framework, automation, challenges, solutions and practices: a connected approach for IoT applications -- Chapter 6. IoT functional testing using UML use case diagrams: IoT in testing -- Chapter 7. Best practices: adopting security into the software development process for IoT applications -- Chapter 8. Machine learning techniques for internet of things -- Chapter 9. Current trends: machine learning and AI in IoT -- Chapter 10. Social internet of things -- Chapter 11. Smart pollution alert system using machine learning.
標題:
Internet of things. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7790-4
ISBN:
9781522577911 (e-book)
Integrating the internet of things into software engineering practices
Integrating the internet of things into software engineering practices
[electronic resource] /D. Jeya Mala, editor. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xix, 293 p.)
Includes bibliographical references and index.
Chapter 1. A new process model for IoT-based software engineering -- Chapter 2. Current trends in integrating the internet of things into software engineering practices -- Chapter 3. Modelling and designing of IoT systems using UML diagrams: an introduction -- Chapter 4. Web-based IoT application development -- Chapter 5. Internet of things testing framework, automation, challenges, solutions and practices: a connected approach for IoT applications -- Chapter 6. IoT functional testing using UML use case diagrams: IoT in testing -- Chapter 7. Best practices: adopting security into the software development process for IoT applications -- Chapter 8. Machine learning techniques for internet of things -- Chapter 9. Current trends: machine learning and AI in IoT -- Chapter 10. Social internet of things -- Chapter 11. Smart pollution alert system using machine learning.
Restricted to subscribers or individual electronic text purchasers.
"This book presents novel ideas related to the development aspects, case studies, issues and challenges and best practices that can be adopted for IoT. It also provides details of vulnerability, complexity, robustness management, risk-driven security metrics, methodologies and tools that help the students, academia, researchers and developers to achieve adequate security, trust, dependability and privacy goals"--Provided by publisher.
ISBN: 9781522577911 (e-book)Subjects--Topical Terms:
2057703
Internet of things.
LC Class. No.: TK5105.8857 / .I526 2019e
Dewey Class. No.: 004.67/8
Integrating the internet of things into software engineering practices
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Chapter 1. A new process model for IoT-based software engineering -- Chapter 2. Current trends in integrating the internet of things into software engineering practices -- Chapter 3. Modelling and designing of IoT systems using UML diagrams: an introduction -- Chapter 4. Web-based IoT application development -- Chapter 5. Internet of things testing framework, automation, challenges, solutions and practices: a connected approach for IoT applications -- Chapter 6. IoT functional testing using UML use case diagrams: IoT in testing -- Chapter 7. Best practices: adopting security into the software development process for IoT applications -- Chapter 8. Machine learning techniques for internet of things -- Chapter 9. Current trends: machine learning and AI in IoT -- Chapter 10. Social internet of things -- Chapter 11. Smart pollution alert system using machine learning.
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"This book presents novel ideas related to the development aspects, case studies, issues and challenges and best practices that can be adopted for IoT. It also provides details of vulnerability, complexity, robustness management, risk-driven security metrics, methodologies and tools that help the students, academia, researchers and developers to achieve adequate security, trust, dependability and privacy goals"--Provided by publisher.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7790-4
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