Formal methods are a nice idea, but the size and complexity of real systems means that they are impractical. We propose that a reasonable alternative to attempting to specify and verify the system in its entirety is t...
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Formal methods are a nice idea, but the size and complexity of real systems means that they are impractical. We propose that a reasonable alternative to attempting to specify and verify the system in its entirety is to build and evaluate an abstract model(s) of aspects of the system that are perceived as important. Using a model will not provide proof of the system, but it can help to find shortcomings and errors at an early stage. Executing the model should also give a measure of confidence in the final product. Many systems today are built from communicating components so that the task of the developers is becoming fitting these components together to form the required system. We show how a formal model can be sympathetic to this type of architecture using our tool, RolEnact and explain how this may be related to a COM implementation.
There is a continuing need for software engineers to design better-quality systems more quickly. Component-based technologies promise to make this possible, but modern systems are too complex for a full analysis of th...
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There is a continuing need for software engineers to design better-quality systems more quickly. Component-based technologies promise to make this possible, but modern systems are too complex for a full analysis of their behaviour to be practical. We propose that a reasonable alternative is to analyse abstract models of the essential features of a system. Since these models are abstract, they need contain only those details that are relevant to the aspect of the system under consideration. Consequently, they can be small enough to be constructed quickly and analysed thoroughly using formal methods. Tools are required which are accessible to the novice but which remain powerful enough to build models with a formal foundation so that they can be used by system designers who have limited expertise in the use of formal methods. We propose our tool, RolEnact, as a candidate for this role.
Modern high-performance embedded systems face many challenges. systems must function in rapidly changing environments. Power/size constraints limit hardware size, while extreme performance requirements demand algorith...
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Modern high-performance embedded systems face many challenges. systems must function in rapidly changing environments. Power/size constraints limit hardware size, while extreme performance requirements demand algorithm specific architectures. Hardware architectures must structurally adapt to achieve high performance with changing algorithms. Reconfigurable computing devices offer the promise of architectures that change in response to the changing environment. The primary difficulty in this approach lies in system design. A model-integrated approach is used in the design capture and synthesis of these systems. The target systems are built on a heterogeneous computing platform including configurable hardware, ASIC and general purpose processors and DSPs. This project is a DARPA Adaptive Computing systems funded effort, involving close cooperation with US ARMY/AMICOM.
This paper describes the results of the working group investigating the issues of empirical studies for evolving systems. The groups found that there were many issues that were central to successful evolution and this...
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This paper describes the results of the working group investigating the issues of empirical studies for evolving systems. The groups found that there were many issues that were central to successful evolution and this concluded that this is a very important area within softwareengineering. Finally nine main areas were selected for consideration. For each of these areas the central issues were identified as well as success factors. In some cases success stories were also described and the critical factors accounting for the success analyzed. In some cases it was later found that a number of areas were so tightly coupled that it was important to discuss them together.
Repetitive, or multipass, processes are a class of 2D systems of both practical and algorithmic/theoretical interest whose dynamics cannot be analysed or controlled using standard (1D) systems theory. Recently it has ...
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Summary form only given, as follows. More and more software developers are recognizing the need for solutions that make it possible to share code between different applications in the same domain. Reusing code increas...
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Summary form only given, as follows. More and more software developers are recognizing the need for solutions that make it possible to share code between different applications in the same domain. Reusing code increases not only the productivity of the developers but also the reliability and maintainability of the software products. Many software companies have ended up with a repository of enterprise components modelling the core business of the company, or with a product-line architecture that captures the common aspects of a family of software products. In both cases, object-orientation (OO) offers a technology that enables these solutions. The workshop studies the problems in designing reuse-oriented architectures (ROA) within the OO paradigm and the OO techniques that support this. The design of such systems is much harder than the design of individual applications, because ROAs need to be valid for unforeseen applications. Instead of a closed world of application concepts, the designer must analyze the variable aspects of a domain. The workshop covers a wide range of topics related to the development of ROAs, including: Design methods for OO product-lines/frameworks; Case studies of existing ROAs; Patterns and architectural styles supporting ROAs; Component-based ROAs; Evaluation of ROAs; Tools supporting the creation and reuse of product-line platforms and frameworks; Documentation of product-line platforms and frameworks; Practical experiences with reuse in OO; and Re-engineering legacy systems into ROAs.
The classification-tree method developed by Grochtmann and Grimm facilitates the identification of test cases from functional specifications via the construction of classification trees. Their method has been enhanced...
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The classification-tree method developed by Grochtmann and Grimm facilitates the identification of test cases from functional specifications via the construction of classification trees. Their method has been enhanced by Chen and Poon through the classification-tree construction and restructuring methodologies. We find, however that the restructuring algorithm by Chen and Poon is applicable only to certain types of classification trees. We introduce a new tree-restructuring algorithm to supplement their work.
This paper reports further development of the so-called ID Lyapunov equation based approach to the stability analysis of differential linear repetitive processes. In particular, it is shown that this approach leads to...
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Context dependency is an important problem of knowledge. Fuzzy information also suffers from this dependency when any fuzzy concept, once described, is isolated from its context. The paper describes a cognitive model ...
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Context dependency is an important problem of knowledge. Fuzzy information also suffers from this dependency when any fuzzy concept, once described, is isolated from its context. The paper describes a cognitive model in which fuzzy knowledge is processed with respect to its surrounding context. The model is derived from some psycho-cognitive approaches: the integrity of knowledge and its context as well as the episodic character of contextual effects on knowledge. The model consists of some functional modules performing related cognitive tasks. Fuzzy knowledge is kept within a layered long-term memory. Layers form an episodic base for contextual knowledge: each layer represents a different context and keeps related fuzzy knowledge. A context selector module evaluates existence of context information in order to choose appropriate context layers. An aggregation module which is an optimization module evaluates implicit contexts. The model is supported by a car brake example, which shows its simplicity and adaptability, and thus the power of this cognitive model. The model is useful especially for mobile fuzzy system applications where knowledge on environment conditions are constantly changing and adaptation of the fuzzy system's descriptive aspects are necessary.
This paper considers an optimization problem of a 3-dimensional truss whose vibration is controlled in the case of sensor/actuator collocation. The design variables are cross sectional areas of truss members and locat...
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This paper considers an optimization problem of a 3-dimensional truss whose vibration is controlled in the case of sensor/actuator collocation. The design variables are cross sectional areas of truss members and locations of the collocated sensors/actuators. The problem has three objectives, the structural weight, the function that represents the influence of the initial state of the system and the number of sensors/actuators. By minimizing the second objective, we can suppress the vibration to some degree. Moreover, in this paper, we consider the uncertainty of the initial state of the system which is dependent on the initial loading conditions. We treat these three objectives by the weighing method for multiobjective problem. The optimization is carried out by the use of Genetic Algorithm. It is shown through numerical simulation that the improvement of the vibration suppression is accomplished by the small control input for the structure designed by the present formulation.
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