Deriving software architectures for CRUD applications: the FPL tower interface case study

The main aim of this paper is to present how to derive logical software architectures for CRUD (Create, Read, Update and Delete) applications using a specific technique called 4SRS. In this technique, a component diagram, which is obtained through transformations of use cases, is used to represent the logical software architecture. To show that the 4SRS technique, which was initially devised for behavior-intensive reactive systems, is also effective and gives seamless results for other software domains, it is being experimented on data processing systems, which typically follow a CRUD pattern. For demonstration purposes, the FPL tower interface system, which is responsible for communication between air traffic control operators and flight data processing system on airports of Portugal, has been used as a case study.(undefined

Feature-based generation of pervasive systems architectures utilizing software product line concepts

As the need for pervasive systems tends to increase and to dominate the computing discipline, software engineering approaches must evolve at a similar pace to facilitate the construction of such systems in an efficient manner. In this thesis, we provide a vision of a framework that will help in the construction of software product lines for pervasive systems by devising an approach to automatically generate architectures for this domain. Using this framework, designers of pervasive systems will be able to select a set of desired system features, and the framework will automatically generate architectures that support the presence of these features. Our approach will not compromise the quality of the architecture especially as we have verified that by comparing the generated architectures to those manually designed by human architects. As an initial step, and in order to determine the most commonly required features that comprise the widely most known pervasive systems, we surveyed more than fifty existing architectures for pervasive systems in various domains. We captured the most essential features along with the commonalities and variabilities between them. The features were categorized according to the domain and the environment that they target. Those categories are: General pervasive systems, domain-specific, privacy, bridging, fault-tolerance and context-awareness. We coupled the identified features with well-designed components, and connected the components based on the initial features selected by a system designer to generate an architecture. We evaluated our generated architectures against architectures designed by human architects. When metrics such as coupling, cohesion, complexity, reusability, adaptability, modularity, modifiability, packing density, and average interaction density were used to test our framework, our generated architectures were found comparable, if not better than the human generated architectures