Theoretical and practical complexity of modeling methods
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 46-51 |
Journal / Publication | Communications of the ACM |
Volume | 50 |
Issue number | 8 |
Publication status | Published - 1 Aug 2007 |
Link(s)
Abstract
The estimation of theoretical and practical complexity of a system development method is discussed. Executable model capability allow developers to transform models developed during the Systems Analysis and Design portion of the systems development process into working applications. Systems are becoming more complex mostly because of influencing factors such as required and enhanced functionality, interoperability, and security. Other trends that impact the complexity of applications include systems such as enterprise resource planning, supply chain management, and customer relationship management. These types of systems are very large and complex and require close internal cooperation for the implementing organizations individually and also external cooperation and connection to their business partners up and down the supply chain. A realistic estimation of the complexity of a modeling language can also provide better ways of learning and using various development methods.
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Citation Format(s)
Theoretical and practical complexity of modeling methods. / Erickson, John; Siau, Keng.
In: Communications of the ACM, Vol. 50, No. 8, 01.08.2007, p. 46-51.
In: Communications of the ACM, Vol. 50, No. 8, 01.08.2007, p. 46-51.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review