Analysis computerscience disciplines

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Analysis computerscience disciplines

  1. 1. Since 2009 to 2014 An Analysis of Research in Computing Disciplines
  2. 2. Article Review An Analysis of Research in Computing Disciplines by Glass, R. , Ramesh, V. & Vessey, I. (2004) Manuela Aparicio & Carlos J. Costa 2
  3. 3. Summary 1) Computing subdivisions 2)Topics studied by Computing 3)Research Approaches 4)Used Methods 5)Used Disciplines 6)Context Level 7)Conclusions Manuela Aparicio & Carlos J. Costa 3
  4. 4. Computing Field Subdivisions • Computer Science (CS), • Software Engineering (SE), • Information Systems (IS). Manuela Aparicio & Carlos J. Costa 4
  5. 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.” Manuela Aparicio & Carlos J. Costa 5
  6. 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. Manuela Aparicio & Carlos J. Costa 6
  7. 7. According to Euraxess Manuela Aparicio & Carlos J. Costa 7 Source: Euraxess http://ec.europa.eu/euraxess/index.cfm
  8. 8. According to the Study Manuela Aparicio & Carlos J. Costa 8
  9. 9. Studied Topics Manuela Aparicio & Carlos J. Costa 9
  10. 10. • Research Approaches Descriptive, Evaluative, Formulative Manuela Aparicio & Carlos J. Costa 10
  11. 11. Manuela Aparicio & Carlos J. Costa 11
  12. 12. Used Methods Research method addresses the specific methods used: – Conceptual analysis, – Case study, – Data analysis, – Field experiment, – Laboratory experiment, – Simulation Manuela Aparicio & Carlos J. Costa 12
  13. 13. Used Method Manuela Aparicio & Carlos J. Costa 13
  14. 14. Manuela Aparicio & Carlos J. Costa 14
  15. 15. Used Disciplines as Reference Manuela Aparicio & Carlos J. Costa 15
  16. 16. Analysis Level/Context Manuela Aparicio & Carlos J. Costa 16
  17. 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. Manuela Aparicio & Carlos J. Costa 17
  18. 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. Manuela Aparicio & Carlos J. Costa 18
  19. 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. Manuela Aparicio & Carlos J. Costa 19
  20. 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. Manuela Aparicio & Carlos J. Costa 20
  21. 21. Manuela Aparicio & Carlos J. Costa 21

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