An analysis of research in computing disciplines
An interesting article appeared in the communications of the ACM comparing the nature of topics in the disciplines computer science (CS), software engineering (SE) and information systems (IS) (Glass, Ramesh, and Vessey, 2004)
| Topic Categories | CS | SE | IS | Examples |
| Problem-Solving Concepts | 14.7% | 5.9% | 5.9% | Algorithms, artificial intelligence |
| Computer Concepts | 28.7% | 10.9% | 0.0% | Hardware principles, operating systems |
| System/software Concepts | 19.1% | 54.8% | 6.4% | System architecture, system security, software life cycle |
| Data/information Concepts | 15.4% | 7.6% | 3.0% | Data structures, information retrieval, data analysis |
| Problem domain-specific Concepts | 21.5% | 2.7% | 6.4% | Bioinformatics, decision support systems, edutainment |
| System/software management Concepts | - | 11.5% | 6.8% | Project management, process management |
| Organizational Concepts | 0.3% | 1.9% | 65.6% | Organizational structure, strategy, business process reengineering, IT implementation, change management |
| Societal concepts | - | 0.3% | 1.4% | Cultural/legal/ethical/political implications |
| Disciplinary issues | - | 3.5% | 4.3% | „Computing“ research, „Computing“ curriculum/teaching |
