Internet fundamentally changes the model of software development, the demands of software quality, and the process of software resource sharing. Internetbased environment for trustworthy software production is recogni...
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ISBN:
(纸本)9780769546001
Internet fundamentally changes the model of software development, the demands of software quality, and the process of software resource sharing. Internetbased environment for trustworthy software production is recognized as a key topic of softwareengineering in both academic and software industry. In this paper, the concepts and models of trustworthy software are introduced which dominate the design of Trustie environment. Trustie provides trustworthy software components sharing by an evolving software repository, and provides collaborative software development in a customizable development platform powered by a software production line framework. Finally the layered practices of research and application based on Trustie preliminarily demonstrate the effectiveness as well as the promising future of this environment.
Taking inspiration from biological organism's cell based structure, the paper is focused on modeling and implementation of bio-inspired artificial hardware structures for high reliability industrial control applic...
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A software companies are often challenged with providing QA and testing of their software in an effective and efficient manner. What a QA staff and project management must do to make software quality more certain? The...
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ISBN:
(纸本)9789604742776
A software companies are often challenged with providing QA and testing of their software in an effective and efficient manner. What a QA staff and project management must do to make software quality more certain? They must have adequate software project management and test management infrastructure such is Optimal software Quality Management (OptimalSQM) Framework. OptimalSQM Framework consists of a Business Intelligent Simulation Architecture with integrated software expert tools (Profit eXpert, Planner eXpert, Risk Management eXpert, Quality eXpert, Maintenance eXpert, People Performance eXpert and Process Dynamics Control eXpert) in order to find optimal development activity combination at the beginning for every SDLC model. OptimalSQM solution is an faster, better and cheaper solution which enable software designers to achieve a higher quality for their design, a better insight into quality predictions for their design choices, test plans improvement using Simulated Defect Removal Cost Savings model as we described in this paper. In this paper we described OptimalSQM Framework Architecture, proposed a set of components which enables to minimize the cost of switching between test plan alternatives, when the current choice cannot fulfill the quality constraints.
General-purpose middleware must often be specialized for resource-constrained, real-time and embedded systems to improve their response-times, reliability, memory footprint, and even power consumption. software engine...
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The paradigm shift from traditional on-premise software to a service based model has gained significant momentum in the past decade. One such concept, software as a Service (SaaS), delivers the functionality of tradit...
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Knowledge is the source of intelligence and both knowledge representation and knowledge management are crucial for intelligent systems. Well employed knowledge helps such systems become aware of situations, recognize ...
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作者：
Hawick, Ken A.Computer Science
Institute for Information and Mathematical Sciences Massey University North Shore 102 904 Auckland New Zealand
Simulating complex systems often requires high-performance software to be custom developed. However families of simulation problem do arise in which many computational tools, data structures and semantic ideas are sha...
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ISBN:
(纸本)9780889869066
Simulating complex systems often requires high-performance software to be custom developed. However families of simulation problem do arise in which many computational tools, data structures and semantic ideas are shared in common. softwareengineering mechanisms that support the sharing and reuse of developed code are strongly desirable to save cost on development effort, testing and validation effort, and specifically to lower the time involved from concept to implementation for a new simulation model. Domain-Specific Languages (DSLs) provide a valuable such mechanism and act as a semantic bridge between application domain expert and programmer. Even in cases of computational scientists where these two roles might be played by the same individual, a DSL provides a powerful mechanism to domain-specific ideas to improve the development time by lowering the software code complexity. We discuss some families of complex systems simulation problem and some experiences with domain-specific languages and automatic code generation (ACG) tools - particularly when applied to manage simulations where parallel and distributed computing technologies are used to speed-up the process of statistics collection from the numerical experiments.
In addition to trade-offs between convergence and response spans as described by Gouda and Evangelist [1], we consider state space utilization with regard to processing and communications, and sensitivity to delay tim...
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The performance of data processing in distributed information systems strongly depends on the efficient scheduling of the applications that access data at the remote sites. This work assumes a typical model of distrib...
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ISBN:
(纸本)9783642254611;9783642254628
The performance of data processing in distributed information systems strongly depends on the efficient scheduling of the applications that access data at the remote sites. This work assumes a typical model of distributed information system where a central site is connected to a number of remote and highly autonomous remote sites. An application started by a user at a central site is decomposed into several data processing tasks to be independently processed at the remote sites. The objective of this work is to find a method for optimization of task processing schedules at a central site. We define an abstract model of data and a system of operations that implements the data processing tasks. Our abstract data model is general enough to represent many specific data models. We show how an entirely parallel schedule can be transformed into a more optimal hybrid schedule where certain tasks are processed simultaneously while the other tasks are processed sequentially. The transformations proposed in this work are guided by the cost-based optimization model whose objective is to reduce the total data transmission time between the remote sites and a central site. We show how the properties of data integration expressions can be used to find more efficient schedules of data processing tasks in distributed information systems.
Stream-processing systems inevitably face unpredictable variations in incoming event loads. One way of handling this without affecting end-to-end performance metrics, will be to dynamically distribute event-processing...
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