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Computing Research Survival Manual A Practical Handbook for Beginners.

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A survival manual detailing computing research procedure including problem formulation, dataset sources, methodologies, systematic literature review, ethics, trending topics, academic databases and tips for journal publications, all from the perspective of computing.

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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Chiroma, Haruna
Format: eBook
Language:English
Published: Bristol : Institute of Physics Publishing, 2023.
Table of Contents:
  • Intro
  • Preface
  • Author biographies
  • Haruna Chiroma
  • Jemal H Abawjy
  • Chapter 1 Computing disciplines ecosystem and origin of research
  • 1.1 Introduction
  • 1.2 Computing disciplines
  • 1.2.1 Computer science
  • 1.2.2 Software engineering
  • 1.2.3 Computer engineering
  • 1.2.4 Information systems
  • 1.2.5 Information technology
  • 1.2.6 Cybersecurity
  • 1.2.7 Data science
  • 1.2.8 Emerging areas: artificial intelligence
  • 1.3 Comparing the focus of the seven disciplines within the computing ecosystem
  • 1.4 Scientific research in computing
  • 1.4.1 Types of research
  • 1.5 Research philosophy and origin of research in computing
  • 1.5.1 Origin of research in computer science
  • 1.5.2 Origin of research in software engineering
  • 1.5.3 Origin of research in information systems
  • 1.5.4 Origin of research in information technology
  • 1.5.5 Origin of research in data science
  • 1.5.6 Origin of research in cybersecurity
  • 1.5.7 Origin of research in computer engineering
  • 1.6 Comparing research methods in discipline within the computing ecosystems
  • 1.7 Generic procedure for computing research
  • 1.8 Features of quality and bad research
  • 1.9 MSc, PhD and undergraduate project in computing
  • 1.10 Organization of the book
  • 1.11 Summary
  • References
  • Chapter 2 Computing search engines and bibliographic databases
  • 2.1 Introduction
  • 2.2 The computing academic databases
  • 2.2.1 Clarivate Analytics Web of Science
  • 2.2.2 Scopus
  • 2.2.3 Comparing the Scopus and Web of Science
  • 2.2.4 DBLP computer science bibliography
  • 2.2.5 ACM digital library
  • 2.2.6 Ei-Compendex
  • 2.2.7 IEEE Xplore
  • 2.2.8 ScienceDirect
  • 2.2.9 Springerlink
  • 2.2.10 PubMed
  • 2.2.11 Google Scholar
  • 2.3 Comparing the academic search engines: similarities and differences
  • 2.4 Summary
  • References
  • Chapter 3 Systematic literature review from a computing perspective and research problem formulation
  • 3.1 Introduction
  • 3.2 Why conduct literature search and systematic literature review?
  • 3.3 Systematic literature review, narrative review and metadata analysis: differences
  • 3.3.1 Approach for conventional review
  • 3.3.2 Synthesis of existing evidence and research problem
  • 3.4 Proposed systematic literature review methodology for computing
  • 3.4.1 Focus and selection of research topic
  • 3.4.2 Motivation
  • 3.4.3 Keywords
  • 3.4.4 Research questions
  • 3.4.5 Literature search and data sources
  • 3.4.6 Study selection procedure
  • 3.4.7 Exclusion and inclusion criteria
  • 3.4.8 Inclusion and exclusion of papers
  • 3.4.9 Screening based on introduction and conclusion (optional)
  • 3.4.10 Stopping the search and the number of articles required for the SLR
  • 3.4.11 Data extraction and synthesis
  • 3.4.12 Answers to research questions
  • 3.4.13 Systematic literature review quality assessment
  • 3.4.14 Discussion
  • 3.4.15 Limitations

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