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" "One of the distinct features of XP is the lack of any documentation whatsoever, except for the code itself. This is a contraposition to the modeling techniques like the Unified Modeling Language (UML), which strongly focus on documentation. XP takes an extreme position there, not even documenting the architecture of the system. Often, it is very difficult to extract the overall structure, behavior or interactions with the environment from the code. The code is a rather detailed and fragile representation of the system’s tasks. Even though the code contains all necessary information about the system, this information is often burdened with details and it is tedious to extract the aspects one is interested in. Therefore, it would be useful to have a more compact system representation. The UML does provide a number of notations that are suited for this purpose. However, the tools so far are not capable of supporting UML in such a manner that it can be well-integrated with the approach of Extreme Programming.
Bernhard Rumpe (born 1967) is a German computer scientist and Professor of Computer science and Head of the Software Engineering Department at the RWTH Aachen University.
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In all engineering disciplines nowadays, software engineering excluded, there exists an established engineering process to develop a system, which is accompanied by a number of suited modeling description techniques. Software engineering, being a rather new field, has not as yet established any clear methodical guidance or a fully standardized modeling notation.
The term (MDE) is typically used to describe software development approaches in which abstract models of software systems are created and systematically transformed to concrete implementations.... Full realizations of the MDE vision may not be possible in the near to medium-term primarily because of the wicked problems involved. On the other hand, attempting to realize the vision will provide insights that can be used to significantly reduce the gap between evolving software complexity and the technologies used to manage complexity.
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Advances in hardware and network technologies have paved the way for the development of increasingly pervasive software-based that collaborate to provide essential services to society. Software in these systems is often required to (1) operate in distributed and embedded computing environments consisting of diverse devices (personal computers, specialized sensors and actuators), (2) communicate using a variety of interaction paradigms (e.g., SOAP messaging, media streaming), (3) dynamically adapt to changes in operating environments, and (4) behave in a dependable manner. Despite significant advances in programming languages and supporting integrated development environments (IDEs), developing these complex software systems using current code-centric technologies requires herculean effort.