Last ned (Gratis)

Abstrakt

Modern information systems tend to be large-scale and complex, and it has been observed that traditional
information system development approaches have problems handling very large systems. Efforts have been
concentrated on addressing these problems from the solution domain, but less on the complexity of the
problem itself. This paper attempts to uncover the reasons for these problems by looking closer at system
complexity, the causes of complexity and the approaches that have been used to handle complexity. Based on
the analysis and a literature review, we suggest that some major problems of very large complex system
development can be solved by treating the development process as an integration task from a multiperspective
angle.

Referanser

Abugessaisa, I.E.A. and Sivertun, A. (2004) Ontological approach to modeling information systems In The 4th International Conference on Computer and Information Technology Proceedings, pp. 1122-1127. Avison, D. and Elliot, S. (2006) \"Scoping the discipline of information systems\" Information Systems: The State of the Field, John Wiley and Sons.

Benbya, H. and McKelvey, B. (2006) \"Toward a complexity theory of information systems development\", Information Technology \\& People, Vol. 19, Issue 1, pp.12-34.

Brodie, M.L. (2010) Data Integration at Scale: From Relational Data Integration to Information Ecosystems In 24th IEEE International Conference on Advanced Information Networking and Applications Proceedings, pp. 2-3.

Cilliers, P. (1998) Complexity and Postmodernism: Understanding Complex Systems, London: Routledge. Crocker, R. (2004) \"Large Scale Agile Software Development\", Extreme Programming and Agile Methods - XP/Agile Universe, pp. 231-231.

Douglas, C.S. (2006) \"Model-Driven Engineering\". IEEE Computer, Vol. 39, Issue 2, pp. 25-31. Gemino, A. and Wand, Y. (2004) \"A framework for empirical evaluation of conceptual modeling techniques\", Requirements Engineering, Vol. 9, Issue 4, pp. 248-260.

Gruber, T.R. (1993) \"A translation approach to portable ontology specifications\" knowledge acquisition, Vol. 5, pp. 199-220.

Highsmith, J.A. (1999) Adaptive Software Development - A Collaborative Approach to Managing Complex Systems, Dorset House.

Jacucci, E., Hanseth, O. and Lyytinen, K. (2006) \"Introduction: Taking complexity seriously in IS research\" Information Technology \\& People, Vol. 19, Issue 1, pp. 5-11.

Kirikova, M. (2009) Towards Flexible Information Architecture for Fractal Information Systems In 2009 International Conference on Information, Process, and Knowledge Management Proceedings, pp. 135-140. Kim, R.M. and Kaplan, S.M. (2006) \"Interpreting socio-technical co-evolution: Applying complex adaptive systems to IS engagement\", Information Technology \\& People, Vol. 19, Issue 1, pp.35-54. Lee, G. and Xia, W. (2002) Development of a Measure to Assess the Complexity of Information Systems Development Projects In the 23rd International Conference on Information Systems Proceedings. Manifesto (2001) Agile Software Development, http://agilemanifesto.org/

Mingers, J. (2003) \"The paucity of multimethod research: a review of the information systems literature\", Information Systems Journal, Vol. 13, Issue 3, pp. 233-249.

Mu, L.P., Kuang, L. and Prinz, A. (2010) Maritime data integration using standard ISO 15926 In the 20th International Offshore and Polar Engineering Conference Proceedings.

Mukherjee, I. (2008) \"The Complexity Paradigm: Implications for Information Systems and their Strategic Planning\" Journal of Computer Science, Vol 4, Issue 5, pp. 382-392.

Mukherjee, I. (2008) \"Understanding Information System Failures from the Complexity Perspective\" Journal of Social Sciences Vol. 4, Issue 4, pp. 308-319.

OMG (2001) Model Driven Architecture (MDA), http://www.omg.org/mda/

Olivé, A. (2005) \"Conceptual Schema-Centric Development: A Grand Challenge for Information Systems Research\" Computer Science, Vol. 3520, pp.1-15.

Richardson, K.A. (2008) \"Managing complex organizations: Complexity thinking and the science and art of management\" Computer and Information Science, Vol. 10, Issue 2, pp. 13-26.

Richardson, K.A., Cilliers, P. and Lissack, M. (2001) Complexity Science: A \"Gray\" science for the \"stuff in between\" Emergence, Vol. 3, Issue 2, pp. 6-18.

Robert, F. and Bernhard, R. (2007) Model-driven Development of Complex Software: A Research Roadmap In 2007 Future of Software Engineering Proceedings, pp. 37-54.

Stahl, T., Völter, M., Bettin, J., Haase, A., and Helsen, S. (2006) Model-Driven Software Development: technology, engineering, management, John Wiley.

Schwaber, K. and Beedle, M. (2002). Agile software development with Scrum. Prentice Hall. Vidgen, R.T., and Madsen, S. (2003) Exploring the Socio-Technical Dimension of Information System Development: Use Cases and Job Satisfaction In European Conference on Information Systems Proceedings.



Forrige artikkel      Neste artikkel