Abstract
In Information Systems (IS), the search for a good design is still a relevant issue. In IS, two sub-systems coexist, applications and data. To articulate these sub-systems, some authors opt for the CRUD matrix. Similarly, Axiomatic Design (AD) theory studies how functional requirements are related to design parameters using a design matrix. In this paper, the application sub-system corresponds to the functional requirements, the data sub-system to the design parameters, and the CRUD matrix to the design matrix. The goal of the CRUD matrix is to maintain the independence of its items to minimize the information content of the design. Similarly, AD uses the design matrix to define a good design. This work aims to develop a theory to create object-oriented elements based on the CRUD matrix aligned with the business strategy.
Highlights
Axiomatic Design (AD) theory is a powerful systems design methodology based on matrix methods that analyze the pipeline from customer needs to process variables
#3 each data item is managed by a single application in the CRUD matrix design matrix [A] ensuring the independence of FRs
In Information Systems (IS), the horizontal alignment of applications and data items is possible with the CRUD matrix
Summary
Axiomatic Design (AD) theory is a powerful systems design methodology based on matrix methods that analyze the pipeline from customer needs to process variables. A significant effort is given to align the business strategy with the technology, i.e., the process in which a business organization uses information technology to achieve business objectives [8]. Despite the high number of methodologies [16] in IS, the search for a good design is still a relevant issue, and the concept of a good design is still a subject of controversy. BSP (Business Systems Planning) [7] presented four essential elements for Information Systems Planning, coined as the Iron Cross: organization (people), applications (software), data, and technological systems (hardware)
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