Buch, Englisch, 303 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 496 g
Conceptual and Philosophical Foundations
Buch, Englisch, 303 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 496 g
ISBN: 978-0-521-06335-7
Verlag: Cambridge University Press
Information systems development is not merely a technical intervention but involves social and ethical dilemmas that affect the human, social and organizational domains. To demonstrate this point, the authors conduct a thorough and substantive description and analysis of the conceptual and philosophical underpinnings of systems development. In particular they analyse a number of systems development methodologies including structured methods, prototyping, ETHICS and Soft Systems Methodology to reveal the underlying conceptual and philosophical foundations. The book provides an in-depth analysis of data modelling theory and its links with theories of language and cognition. It offers a framework to describe and analyse different systems development approaches and to explain their strengths and weaknesses. The book is aimed at graduate students taking courses in information systems and data modelling, but will also appeal to information systems managers and professionals for whom the summary of methodologies will be useful.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
- Geisteswissenschaften Philosophie Moderne Philosophische Disziplinen Philosophie der Technik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Technische Wissenschaften Technik Allgemein Philosophie der Technik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
Weitere Infos & Material
1. Introduction; 2. Definition and evolution of information systems development methodologies and data modeling; 3. Philosophical foundations; 4. Conceptual and paradigmatic foundations of ISD; 5. Paradigmatic analysis of ISD methodologies; 6. Conceptual and paradigmatic foundations of data modeling; 7. Paradigmatic analysis of data modeling approaches; 8. Conclusions; Appendix A. Summaries of selected methodologies; Bibliography; Index.
