Editors:
- Is divided into five extensive sections including Agile Software Development, Data Management, Web Intelligence, Machine Learning and Computing in Education
- Includes a special section highlighting adaptable methods in education with chapters focussing on various aspects of computer-aided pedagogical methods
- Carefully selected chapters to provide a balanced view of various issues in extensible and adaptable environments such as risk management, testing, security concerns, and energy optimization
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Table of contents (30 chapters)
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Front Matter
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Agile Software Development
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Front Matter
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Data Management
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Front Matter
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Machine Learning
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Front Matter
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About this book
This book addresses extensible and adaptable computing, a broad range of methods and techniques used to systematically tackle the future growth of systems and respond proactively and seamlessly to change. The book is divided into five main sections: Agile Software Development, Data Management, Web Intelligence, Machine Learning and Computing in Education. These sub-domains of computing work together in mutually complementary ways to build systems and applications that scale well, and which can successfully meet the demands of changing times and contexts. The topics under each track have been carefully selected to highlight certain qualitative aspects of applications and systems, such as scalability, flexibility, integration, efficiency and context awareness.
The first section (Agile Software Development) includes six contributions that address related issues, including risk management, test case prioritization and tools, open source software reliability and predicting the change proneness of software. The second section (Data Management) includes discussions on myriad issues, such as extending database caches using solid-state devices, efficient data transmission, healthcare applications and data security. In turn, the third section (Machine Learning) gathers papers that investigate ML algorithms and present their specific applications such as portfolio optimization, disruption classification and outlier detection. The fourth section (Web Intelligence) covers emerging applications such as metaphor detection, language identification and sentiment analysis, and brings to the fore web security issues such as fraud detection and trust/reputation systems. In closing, the fifth section (Computing in Education) focuses on various aspects of computer-aided pedagogical methods.Editors and Affiliations
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Department of Computer Engineering, Netaji Subhas Institute of Technology, University of Delhi, New Delhi, India
Shampa Chakraverty
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SAP Canada, Waterloo, Canada
Anil Goel
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Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria
Sanjay Misra
About the editors
Dr. Shampa Chakraverty is a Professor at the Computer Engineering Division of Netaji Subhas Institute of Technology, New Delhi. She completed her B.E. in Electronics and Communication Engineering at Delhi University, her M.Tech. in Integrated Electronics and Circuits at the IIT Delhi, and her PhD at Delhi University.
Her research interests include sentiment, emotion and human language analysis, E-learning and engineering pedagogy, computer security – trust and digital watermarking, and design exploration of multiprocessor architectures.
Dr. Anil Goel is the Vice President of Engineering at SAP Canada, where he is also head of global development for a number of products and technologies related to SAP’s HANA Platform. He earned a Ph.D. (CS) from the University of Waterloo, Canada, and an M.Tech. (CS) from the IIT Delhi.
Dr. Sanjay Misra is a Professor of Computer (Software) Engineering at Covenant University (CU), Nigeria. He received hisM.E. in Software Engineering and his Ph.D. in Information Engineering from the University of Alcala, Spain.
Bibliographic Information
Book Title: Towards Extensible and Adaptable Methods in Computing
Editors: Shampa Chakraverty, Anil Goel, Sanjay Misra
DOI: https://doi.org/10.1007/978-981-13-2348-5
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-13-2347-8Published: 13 November 2018
eBook ISBN: 978-981-13-2348-5Published: 04 November 2018
Edition Number: 1
Number of Pages: XIX, 407
Number of Illustrations: 60 b/w illustrations, 119 illustrations in colour
Topics: Software Engineering, Programming Techniques, Management of Computing and Information Systems