Agile Model-Based Development Using UML-RSDS by Kevin Lano

By Kevin Lano

This e-book describes the ideas and alertness of model-based improvement (MBD), version differences, and Agile MBD to a variety of software program platforms. It covers platforms specifications engineering, method specification and layout, verification, reuse, and approach composition within the context of Agile MBD. Examples of functions in finance, method migration, web structures and software program refactoring are given. a longtime open-source MBD know-how, UML-RSDS, is used all through to demonstrate the concepts.

The booklet is acceptable for business practitioners who want education in Agile MBD, and those that have to comprehend the problems to be thought of whilst introducing MBD in an business context. it's also compatible for educational researchers, and to be used as textual content for undergraduate or postgraduate classes in MBD. Examples for academic use of UML-RSDS are incorporated within the book.

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Thus a specification using a constraint such as C 1 does have a precise meaning, even though it may seem contradictory at first sight. Such constraints are pervasively used for refactoring transformations and active systems such as game-playing programs, problem solvers and other software ‘agents’ because they directly express requirements of the form “If there is an unwanted situation s, then make changes to remove or correct s”: Unwanted situation s ⇒ Make changes to remove/correct s Here, the unwanted situation is a blank square on the board.

Cpp. The template class set is used to represent UML-RSDS sets, and vector is used to represent UML-RSDS sequences. 6 Bi-directional associations Associations with an inverse can be specified by filling in the ‘Role 1’ field in the association creation dialog (as in Fig. 4). If the association is drawn from class E1 to class E2, then an inverse association from E2 to E1 will be created also. The inverse association is treated as a feature of E2. The generated Java code will automatically maintain the two associations as mutual inverses: updates to the forward association will generally cause updates to the inverse association also, and viceversa.

For example, in the case of the correlation calculator, it may be required to read the datapoints from a spreadsheet CSV file, with one datapoint on each row of the spreadsheet. Such input could be the responsibility of an interface component SpreadsheetReader which has operations getFirstRow () : Sequence (String ) and getNextRow () : Sequence (String ). For each row a datapoint would be created, for use by the main calc use case. For model transformations, on the other hand, the simple file input and output facilities provided within synthesised transformations, and the simple synthesised GUI, may be sufficient, without the need for additional external software (Chapter 7).

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