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The model driven software development (MDSD) paradigm is gaining momentum in developing extensive business software applications. With MDSD it can be carried out a significant contribution towards the key factors of success which are exibility and adherence to delivery dates as well as efficient maintenance and adaptability. With AtomsPro that is introduced here we consequently integrate aspects of domain modelling and software architecture as well as clear and understandable means to enable domain experts to take an active role in the software development process. The challenging aim is to increase the overall ratio of code generated in the development process of enterprise applications by at the same time preserving abilities for efficient maintenance. Hence, we have chosen a fruitful cooperation with several involved project partners.
Dynamic Performance Stubs support performance improvement. They can be used to identify “hidden” bottlenecks and also to provide better estimations of the gain from performance improvement. The idea behind these stubbing mechanism will be described, the core concept will be explained and a closer look on the possibility of creating stubs will be given. Furthermore an introduction on “How to use dynamic performance stubs” is also included.
A lot of applications have been sketched in the area of Car2X-Communication. Safety aspects are often mentioned among others as a motivation for Car2X-Communication systems. We present a statistical based selection of feasible applications with the goal of increasing safety. Therefore the official statistical information of the year 2007 has been considered.
Additionally we will present some consequences for the introduction of Car2X-Communication systems including infrastructure.
Dynamic performance stubs provide a framework to simulate the performance behavior of software modules and functions. Hence, they can be used as an extension to software performance engineering methodologies. The methodology of dynamic performance stubs targets to gain oriented performance improvement. Other applications include the identification of "hidden" bottlenecks and the prioritization of optimization alternatives. Main memory stubs have been developed to extend the simulation possibilities of the dynamic performance stubs framework. They are able to simulate the heap and stack behavior of software modules or functions. This paper extends and improves the simulation algorithm to be able to simulate constant stack values. Moreover, it presents calibration possibilities to improve the simulation results by determining the various overhead in the algorithm. The results are furthermore used to compensate inaccuracies in the simulation. Additionally, a proof of concept is given as validation of the results. This paper shows that, main memory stubs can be used to simulate the heap, stack and timing behavior exactly when considering the parameters determined by the calibration functions.