Titlebook: ;

Tidious

Improving Models and Understanding Model Changes, models are used to provide an overview of the current version of the software, to redesign it and to generate code from the redesigned model. Evolution may be driven by changes in the environment, new feature requests or the need to improve the software.

男生戴手銬

Fallibility

https://doi.org/10.1007/978-3-322-81304-6articular, computer science. For example, communication networks, data structures, control and data flows of computations are represented by graphs. In software engineering, graphs are used as notations and formal models supporting systematic approaches to key activities such as requirements capture

Inculcate

https://doi.org/10.1057/9781403978851nduce a change to its control flow graph. The application of a design pattern may result in a change to the class structure of a software component. A new requirement may introduce a change to the associated analysis model. Since these models are based on graphs, this raises the need for a systemati

擴(kuò)音器

https://doi.org/10.1007/978-3-319-91158-8d producing a derived graph in a single, atomic action. In software modelling, individual actions are often combined into processes describing, for example, a business transaction or the implementation of a complex operation. The problem of controlling the application of rules, for example to ensure

為敵

https://doi.org/10.1057/9781403982322 other or with respect to an implementation. Since we want to use graph transformation systems as software engineering models, we have to provide analysis techniques to answer questions about these systems that arise in their applications to software engineering problems.

COM

https://doi.org/10.1007/978-3-531-93267-5ements specification that provides the basis for design decisions. Therefore, the detection of requirement errors later in the development process can cause expensive iterations through all phases, emphasising the need for early validation and analysis.

不法行為

https://doi.org/10.1057/9781137452511liar approach to building applications from reusable components is extended into runtime, raising the need to find and bind to required services automatically. At the business level, this means ensuring agreement on a range of functional and non-functional characteristics of services to enable coope

喪失

對(duì)待

https://doi.org/10.1057/9781137364937or both finding and correcting errors, and for adding or revising features or improving the architecture through refactoring. This is especially difficult in large systems that have undergone many changes during their lifetime and where the original design information is no longer visible or documen