Towards Extensible and Adaptable Methods in Computing / edited by Shampa Chakraverty, Anil Goel, Sanjay Misra.

Format:

Book

Contributor:

Chakraverty, Shampa, editor.

Goel, Anil, editor.

Misra, Sanjay, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Software engineering.

Computer programming.

Management information systems.

Computer science.

Software Engineering.

Programming Techniques.

Management of Computing and Information Systems.

Local Subjects:

Software Engineering.

Programming Techniques.

Management of Computing and Information Systems.

Physical Description:

1 online resource (XIX, 407 pages) : 179 illustrations, 119 illustrations in color

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Singapore : Springer Singapore : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

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.

Contents:

Chapter 1. Risk Assessment Framework: ADRIM Process model for Global Software Development

Chapter 2. An Extended Test Case Prioritization Technique using Script and Linguistic Parameters in a Distributed Agile Environment

Chapter 3. AutoJet: Web Application Automation Tool

Chapter 4. Prioritisation of User Story Acceptance Tests in Agile Software Development using Meta Heuristic Techniques in Comparative Analysis

Chapter 5. Software Reliability assessment using Deep Learning Technique

Chapter 6 . Empirical Validation of OO metrics and machine learning algorithms for software change proneness

Chapter 7. Extending database cache using SSDs

Chapter 8. Cloud Based Healthcare Monitoring System Using STORM And KAFKA

Chapter 9. Honeynet Data Analysis and Distributed SSH Brute-Force Attacks

Chapter 10. Efficient Data Transmission in WSN: Techniques and Future Challenges

Chapter 11. A Study of Epidemic Spreading and Rumor Spreading over Complex Networks

Chapter 12. Medical Alert System using Social Data

Chapter 13. A novel framework for portfolio optimization based on modified Simulated Annealing algorithm using ANN, RBFN and ABC Algorithm

Chapter 14. A Proposed Method for Disruption Classification in Tokamak using Convolutional Neural Network

Chapter 15. Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection Using Weka

Chapter 16. Super-Intelligent Machine Operations in 21st Century Manufacturing Industries: A Boost or Doom to Political and Human Development?

Chapter 17. Exploring Ensembles for Unsupervised Outlier Detection: An Empirical Analysis

Chapter 18. A Review of Type-III Metaphors

Chapter 19. Multi-Class Classification of Sentiments in Hindi Sentences Based on Intensities

Chapter 20. Language identification for Hindi language transliterated text in Roman Script using Generative Adversarial Networks

Chapter 21. An improved Similarity Measure to alleviate sparsity problem in Context Aware Recommender Systems

Chapter 22. Trust and Reputation-Based Model to Prevent Denial of Service Attacks in Mobile Agent System

Chapter 23. Fraud Detection in Online Transactions Using Supervised Learning Techniques

Chapter 24. Real-time Printed Text Reader for Visually Impaired

Chapter 25. Knowledge and Belief Based Task Assignment in Crowdsourcing Platform

Chapter 26. Teaching Algorithms Using an Android App

Chapter 27. Keyword Extraction using Graph Centrality and WordNet

Chapter 28. Hybrid Mobile Learning Architecture for Higher Education

Chapter 29. Using Collaborative Robotics as a Way to Engage Students

Chapter 30. Assessing Scratch Programmers' Development of Computational Thinking with Transaction-Level Data.

Other Format:

Printed edition:

ISBN:

978-981-13-2348-5

9789811323485

9789811323478

9789811323492

Access Restriction:

Restricted for use by site license.