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Below an example is given of an application of the product line engineering process, based on a real experience of Nokia. Nokia produces different types of products. Among them is a mobile phones product family, currently containing 25 to 30 new products every year.
Manufacturers have long employed analogous engineering techniques to create a product line of similar products using a common factory that assembles and configures parts designed to be reused across the product line. For example, automotive manufacturers can create unique variations of one car model using a single pool of carefully designed ...
A requires B – The selection of A in a product implies the selection of B. A excludes B – A and B cannot be part of the same product. As an example, the figure to the right illustrates how feature models can be used to specify and build configurable on-line shopping systems.
In other words, the step listed first is the first that will be executed (if the diagram reflects a process), while the step listed last is the last that will be executed. Similarly with data, the data field listed first is the first that is encountered when looking at the data, the data field listed last is the final one encountered.
Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.
Applications architecture strategy involves ensuring the applications and the integration align with the growth strategy of the organization. If an organization is a manufacturing organization with fast growth plans through acquisitions, the applications architecture should be nimble enough to encompass inherited legacy systems as well as other large competing systems.
A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.
Data structure diagram and a data dictionary. A data structure diagram is a diagram type that is used to depict the structure of data elements in the data dictionary. The data structure diagram is a graphical alternative to the composition specifications within such data dictionary entries. [1] The data structure diagrams is a predecessor of ...