This document analyzes research in computing disciplines from 2009-2014. It discusses the subdivisions of computing fields including computer science, software engineering, and information systems. It also examines the topics, approaches, methods, disciplines of reference, and context/analysis levels studied. The main conclusions are that computer science focuses on technical topics and uses mathematical analysis, while software engineering also examines technical topics but uses non-mathematical analysis. Information systems researches organizational and usage concepts at a behavioral level, using reference disciplines and evaluative methods like case studies.
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Analysis computerscience disciplines
1. Since 2009 to 2014
An Analysis of Research
in
Computing Disciplines
2. Article Review
An Analysis of Research in Computing Disciplines
by
Glass, R. , Ramesh, V. & Vessey, I. (2004)
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3. Summary
1) Computing subdivisions
2)Topics studied by Computing
3)Research Approaches
4)Used Methods
5)Used Disciplines
6)Context Level
7)Conclusions
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4. Computing Field Subdivisions
• Computer Science (CS),
• Software Engineering (SE),
• Information Systems (IS).
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5. Computing Field Subdivisions
• “Just what are the differences among these fields?”
• “CS people are the ones who write the software that
MIS people implement and use.”
• “Most CS people laugh at MIS people,”
• “MIS people make more money and manage the CS
folks.”
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6. Study
Topic- addresses the subject matter of the research.
– Covered topics are:
– with problem solving,
– computers,
– systems/software,
– data/information,
– problem domain-specific,
– systems/software management, organizations,
– society, as well as disciplinary issues.
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12. Used Methods
Research method addresses the specific methods used:
– Conceptual analysis,
– Case study,
– Data analysis,
– Field experiment,
– Laboratory experiment,
– Simulation
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17. Conclusions
CS/ Computer Science:
•Topics related to computer concepts at technical levels of
analysis
• Formulating processes/methods/algorithms largely using
mathematically based conceptual analysis;
•Does not rely on reference disciplines.
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18. Conclusions
SE/ Systems Engineering:
• Topics related to systems/software concepts at technical levels
of analysis
• Formulating processes/methods/algorithms
• Using non-mathematically-based conceptual analysis;
• Does not rely on reference disciplines.
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19. Conclusions
IS/ Information Systems:
• Topics related to:
• organizational concepts,
• usage/operation and technology transfer
• systems/software topics, all primarily at a behavioural level of analysis
• It uses evaluative research approaches:
– field studies, laboratory experiments, case studies,
• Relies on a variety of reference disciplines, some of which are located in
schools of business.
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20. Conclusions
• Researchers in CS, and SE, primarily expect to produce new things:
processes, methods, algorithms, products.
• IS researchers expect to explore things theories, concepts, techniques,
projects.
• Terminology differs, sometimes in important ways, ie: “implementation”
tends to mean “write code based on the design” in CS and SE, but in IS it
also includes data conversion and changeover to usage of the new
software.
• Further, in IS today, it may also refer to the deployment of packaged
software.
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